├── .gitattributes
├── .github
    ├── ISSUE_TEMPLATE
    │   ├── bug_report.md
    │   └── feature_request.md
    ├── dependabot.yml
    └── workflows
    │   └── documentation.yaml
├── .gitignore
├── 2.0.0
├── README.md
├── SECURITY.md
├── docs
    ├── .buildinfo
    ├── .doctrees
    │   ├── environment.pickle
    │   └── index.doctree
    ├── _images
    │   ├── LoadVoices.png
    │   ├── output_window.png
    │   ├── power_spectrum.png
    │   ├── settings.png
    │   └── spectrogram.png
    ├── _sources
    │   ├── conf.py
    │   ├── favicon.ico
    │   ├── index.md
    │   ├── index.md.txt
    │   ├── index.rst
    │   └── index.rst.txt
    ├── _static
    │   ├── basic.css
    │   ├── css
    │   │   ├── badge_only.css
    │   │   ├── fonts
    │   │   │   ├── Roboto-Slab-Bold.woff
    │   │   │   ├── Roboto-Slab-Bold.woff2
    │   │   │   ├── Roboto-Slab-Regular.woff
    │   │   │   ├── Roboto-Slab-Regular.woff2
    │   │   │   ├── fontawesome-webfont.eot
    │   │   │   ├── fontawesome-webfont.svg
    │   │   │   ├── fontawesome-webfont.ttf
    │   │   │   ├── fontawesome-webfont.woff
    │   │   │   ├── fontawesome-webfont.woff2
    │   │   │   ├── lato-bold-italic.woff
    │   │   │   ├── lato-bold-italic.woff2
    │   │   │   ├── lato-bold.woff
    │   │   │   ├── lato-bold.woff2
    │   │   │   ├── lato-normal-italic.woff
    │   │   │   ├── lato-normal-italic.woff2
    │   │   │   ├── lato-normal.woff
    │   │   │   └── lato-normal.woff2
    │   │   └── theme.css
    │   ├── doctools.js
    │   ├── documentation_options.js
    │   ├── favicon.ico
    │   ├── file.png
    │   ├── fonts
    │   │   ├── font-awesome.css
    │   │   ├── material-icons.css
    │   │   └── specimen
    │   │   │   ├── FontAwesome.ttf
    │   │   │   ├── FontAwesome.woff
    │   │   │   ├── FontAwesome.woff2
    │   │   │   ├── MaterialIcons-Regular.ttf
    │   │   │   ├── MaterialIcons-Regular.woff
    │   │   │   └── MaterialIcons-Regular.woff2
    │   ├── images
    │   │   ├── favicon.png
    │   │   └── icons
    │   │   │   ├── bitbucket.1b09e088.svg
    │   │   │   ├── bitbucket.svg
    │   │   │   ├── github.f0b8504a.svg
    │   │   │   ├── github.svg
    │   │   │   ├── gitlab.6dd19c00.svg
    │   │   │   └── gitlab.svg
    │   ├── javascripts
    │   │   ├── application.js
    │   │   ├── lunr
    │   │   │   ├── lunr.da.js
    │   │   │   ├── lunr.de.js
    │   │   │   ├── lunr.du.js
    │   │   │   ├── lunr.es.js
    │   │   │   ├── lunr.fi.js
    │   │   │   ├── lunr.fr.js
    │   │   │   ├── lunr.hu.js
    │   │   │   ├── lunr.it.js
    │   │   │   ├── lunr.ja.js
    │   │   │   ├── lunr.jp.js
    │   │   │   ├── lunr.multi.js
    │   │   │   ├── lunr.nl.js
    │   │   │   ├── lunr.no.js
    │   │   │   ├── lunr.pt.js
    │   │   │   ├── lunr.ro.js
    │   │   │   ├── lunr.ru.js
    │   │   │   ├── lunr.stemmer.support.js
    │   │   │   ├── lunr.sv.js
    │   │   │   ├── lunr.th.js
    │   │   │   ├── lunr.tr.js
    │   │   │   ├── tinyseg.js
    │   │   │   └── wordcut.js
    │   │   ├── modernizr.js
    │   │   └── version_dropdown.js
    │   ├── jquery.js
    │   ├── jquery.min.map
    │   ├── js
    │   │   ├── badge_only.js
    │   │   ├── html5shiv-printshiv.min.js
    │   │   ├── html5shiv.min.js
    │   │   └── theme.js
    │   ├── language_data.js
    │   ├── material.css
    │   ├── minus.png
    │   ├── plus.png
    │   ├── pygments.css
    │   ├── searchtools.js
    │   ├── sphinx_highlight.js
    │   └── stylesheets
    │   │   ├── application-fixes.css
    │   │   ├── application-palette.css
    │   │   └── application.css
    ├── genindex.html
    ├── index.html
    ├── objects.inv
    ├── search.html
    └── searchindex.js
├── long_description
├── poetry.lock
├── pyproject.toml
└── voicelab
    ├── __init__.py
    ├── docs
        ├── .buildinfo
        ├── .doctrees
        │   ├── environment.pickle
        │   └── index.doctree
        ├── .nojekyll
        ├── _images
        │   ├── LoadVoices.png
        │   ├── output_window.png
        │   ├── power_spectrum.png
        │   ├── settings.png
        │   └── spectrogram.png
        ├── _sources
        │   ├── conf.py
        │   ├── favicon.ico
        │   ├── index.rst
        │   ├── index.rst.backup
        │   └── index.rst.txt
        ├── _static
        │   ├── LoadVoices.png
        │   ├── ajax-loader.gif
        │   ├── alabaster.css
        │   ├── basic.css
        │   ├── comment-bright.png
        │   ├── comment-close.png
        │   ├── comment.png
        │   ├── css
        │   │   ├── badge_only.css
        │   │   ├── darker.css
        │   │   ├── favicon.ico
        │   │   ├── fonts
        │   │   │   ├── Roboto-Slab-Bold.woff
        │   │   │   ├── Roboto-Slab-Bold.woff2
        │   │   │   ├── Roboto-Slab-Regular.woff
        │   │   │   ├── Roboto-Slab-Regular.woff2
        │   │   │   ├── fontawesome-webfont.eot
        │   │   │   ├── fontawesome-webfont.svg
        │   │   │   ├── fontawesome-webfont.ttf
        │   │   │   ├── fontawesome-webfont.woff
        │   │   │   ├── fontawesome-webfont.woff2
        │   │   │   ├── lato-bold-italic.woff
        │   │   │   ├── lato-bold-italic.woff2
        │   │   │   ├── lato-bold.woff
        │   │   │   ├── lato-bold.woff2
        │   │   │   ├── lato-normal-italic.woff
        │   │   │   ├── lato-normal-italic.woff2
        │   │   │   ├── lato-normal.woff
        │   │   │   └── lato-normal.woff2
        │   │   ├── pdj.css
        │   │   └── theme.css
        │   ├── custom.css
        │   ├── doctools.js
        │   ├── documentation_options.js
        │   ├── down-pressed.png
        │   ├── down.png
        │   ├── favicon.ico
        │   ├── favicon.png
        │   ├── file.png
        │   ├── fonts
        │   │   ├── Inconsolata-Bold.ttf
        │   │   ├── Inconsolata-Regular.ttf
        │   │   ├── Inconsolata.ttf
        │   │   ├── Lato-Bold.ttf
        │   │   ├── Lato-Regular.ttf
        │   │   ├── Lato
        │   │   │   ├── lato-bold.eot
        │   │   │   ├── lato-bold.ttf
        │   │   │   ├── lato-bold.woff
        │   │   │   ├── lato-bold.woff2
        │   │   │   ├── lato-bolditalic.eot
        │   │   │   ├── lato-bolditalic.ttf
        │   │   │   ├── lato-bolditalic.woff
        │   │   │   ├── lato-bolditalic.woff2
        │   │   │   ├── lato-italic.eot
        │   │   │   ├── lato-italic.ttf
        │   │   │   ├── lato-italic.woff
        │   │   │   ├── lato-italic.woff2
        │   │   │   ├── lato-regular.eot
        │   │   │   ├── lato-regular.ttf
        │   │   │   ├── lato-regular.woff
        │   │   │   └── lato-regular.woff2
        │   │   ├── RobotoSlab-Bold.ttf
        │   │   ├── RobotoSlab-Regular.ttf
        │   │   ├── RobotoSlab
        │   │   │   ├── roboto-slab-v7-bold.eot
        │   │   │   ├── roboto-slab-v7-bold.ttf
        │   │   │   ├── roboto-slab-v7-bold.woff
        │   │   │   ├── roboto-slab-v7-bold.woff2
        │   │   │   ├── roboto-slab-v7-regular.eot
        │   │   │   ├── roboto-slab-v7-regular.ttf
        │   │   │   ├── roboto-slab-v7-regular.woff
        │   │   │   └── roboto-slab-v7-regular.woff2
        │   │   ├── font-awesome.css
        │   │   ├── fontawesome-webfont.eot
        │   │   ├── fontawesome-webfont.svg
        │   │   ├── fontawesome-webfont.ttf
        │   │   ├── fontawesome-webfont.woff
        │   │   ├── fontawesome-webfont.woff2
        │   │   ├── material-icons.css
        │   │   └── specimen
        │   │   │   ├── FontAwesome.ttf
        │   │   │   ├── FontAwesome.woff
        │   │   │   ├── FontAwesome.woff2
        │   │   │   ├── MaterialIcons-Regular.ttf
        │   │   │   ├── MaterialIcons-Regular.woff
        │   │   │   └── MaterialIcons-Regular.woff2
        │   ├── images
        │   │   ├── LoadVoices.png
        │   │   ├── favicon.ico
        │   │   ├── favicon.png
        │   │   ├── icons
        │   │   │   ├── bitbucket.1b09e088.svg
        │   │   │   ├── bitbucket.svg
        │   │   │   ├── github.f0b8504a.svg
        │   │   │   ├── github.svg
        │   │   │   ├── gitlab.6dd19c00.svg
        │   │   │   └── gitlab.svg
        │   │   ├── output_window.png
        │   │   ├── power_spectrum.png
        │   │   ├── settings.png
        │   │   └── spectrogram.png
        │   ├── img
        │   │   ├── favicon.ico
        │   │   └── porao-branco.png
        │   ├── javascripts
        │   │   ├── application.js
        │   │   ├── lunr
        │   │   │   ├── lunr.da.js
        │   │   │   ├── lunr.de.js
        │   │   │   ├── lunr.du.js
        │   │   │   ├── lunr.es.js
        │   │   │   ├── lunr.fi.js
        │   │   │   ├── lunr.fr.js
        │   │   │   ├── lunr.hu.js
        │   │   │   ├── lunr.it.js
        │   │   │   ├── lunr.ja.js
        │   │   │   ├── lunr.jp.js
        │   │   │   ├── lunr.multi.js
        │   │   │   ├── lunr.nl.js
        │   │   │   ├── lunr.no.js
        │   │   │   ├── lunr.pt.js
        │   │   │   ├── lunr.ro.js
        │   │   │   ├── lunr.ru.js
        │   │   │   ├── lunr.stemmer.support.js
        │   │   │   ├── lunr.sv.js
        │   │   │   ├── lunr.th.js
        │   │   │   ├── lunr.tr.js
        │   │   │   ├── tinyseg.js
        │   │   │   └── wordcut.js
        │   │   ├── modernizr.js
        │   │   └── version_dropdown.js
        │   ├── jquery-3.2.1.js
        │   ├── jquery-3.4.1.js
        │   ├── jquery-3.5.1.js
        │   ├── jquery.js
        │   ├── jquery.min.map
        │   ├── js
        │   │   ├── badge_only.js
        │   │   ├── html5shiv-printshiv.min.js
        │   │   ├── html5shiv.min.js
        │   │   ├── pdj.js
        │   │   └── theme.js
        │   ├── language_data.js
        │   ├── material.css
        │   ├── minus.png
        │   ├── output_window.png
        │   ├── plus.png
        │   ├── power_spectrum.png
        │   ├── pygments.css
        │   ├── searchtools.js
        │   ├── settings.png
        │   ├── spectrogram.png
        │   ├── stylesheets
        │   │   ├── application-fixes.css
        │   │   ├── application-palette.css
        │   │   └── application.css
        │   ├── underscore-1.13.1.js
        │   ├── underscore-1.3.1.js
        │   ├── underscore.js
        │   ├── up-pressed.png
        │   ├── up.png
        │   └── websupport.js
        ├── favicon.ico
        ├── genindex.html
        ├── get-pip.py
        ├── index.html
        ├── objects.inv
        ├── search.html
        └── searchindex.js
    ├── src
        ├── LICENSE
        ├── Voicelab
        │   ├── VoicelabGUI
        │   │   ├── ExperimentalTab.py
        │   │   ├── F1F2PlotWindow.py
        │   │   ├── HOW-TO-GUIDE.txt
        │   │   ├── InputTab.py
        │   │   ├── ManipulationWindow.py
        │   │   ├── OutputTab.py
        │   │   ├── SettingsTab.py
        │   │   ├── VoicelabController.py
        │   │   ├── VoicelabDataModel.py
        │   │   ├── VoicelabTab.py
        │   │   └── __init__.py
        │   ├── __init__.py
        │   ├── __main__.py
        │   ├── default_settings.py
        │   ├── favicon.ico
        │   ├── help
        │   │   ├── _sources
        │   │   │   ├── conf.py
        │   │   │   └── index.rst
        │   │   └── builddir
        │   │   │   ├── .buildinfo
        │   │   │   ├── .doctrees
        │   │   │       ├── _sources
        │   │   │       │   └── index.doctree
        │   │   │       ├── conf.doctree
        │   │   │       ├── environment.pickle
        │   │   │       ├── index.doctree
        │   │   │       └── modules.doctree
        │   │   │   ├── _sources
        │   │   │       ├── _sources
        │   │   │       │   └── index.rst.txt
        │   │   │       ├── conf.rst.txt
        │   │   │       ├── index.html
        │   │   │       ├── index.rst.txt
        │   │   │       └── modules.rst.txt
        │   │   │   ├── _static
        │   │   │       ├── ajax-loader.gif
        │   │   │       ├── alabaster.css
        │   │   │       ├── basic.css
        │   │   │       ├── comment-bright.png
        │   │   │       ├── comment-close.png
        │   │   │       ├── comment.png
        │   │   │       ├── css
        │   │   │       │   ├── badge_only.css
        │   │   │       │   ├── fonts
        │   │   │       │   │   ├── Roboto-Slab-Bold.woff
        │   │   │       │   │   ├── Roboto-Slab-Bold.woff2
        │   │   │       │   │   ├── Roboto-Slab-Regular.woff
        │   │   │       │   │   ├── Roboto-Slab-Regular.woff2
        │   │   │       │   │   ├── fontawesome-webfont.eot
        │   │   │       │   │   ├── fontawesome-webfont.svg
        │   │   │       │   │   ├── fontawesome-webfont.ttf
        │   │   │       │   │   ├── fontawesome-webfont.woff
        │   │   │       │   │   ├── fontawesome-webfont.woff2
        │   │   │       │   │   ├── lato-bold-italic.woff
        │   │   │       │   │   ├── lato-bold-italic.woff2
        │   │   │       │   │   ├── lato-bold.woff
        │   │   │       │   │   ├── lato-bold.woff2
        │   │   │       │   │   ├── lato-normal-italic.woff
        │   │   │       │   │   ├── lato-normal-italic.woff2
        │   │   │       │   │   ├── lato-normal.woff
        │   │   │       │   │   └── lato-normal.woff2
        │   │   │       │   └── theme.css
        │   │   │       ├── custom.css
        │   │   │       ├── doctools.js
        │   │   │       ├── documentation_options.js
        │   │   │       ├── down-pressed.png
        │   │   │       ├── down.png
        │   │   │       ├── file.png
        │   │   │       ├── fonts
        │   │   │       │   ├── Inconsolata-Bold.ttf
        │   │   │       │   ├── Inconsolata-Regular.ttf
        │   │   │       │   ├── Inconsolata.ttf
        │   │   │       │   ├── Lato-Bold.ttf
        │   │   │       │   ├── Lato-Regular.ttf
        │   │   │       │   ├── Lato
        │   │   │       │   │   ├── lato-bold.eot
        │   │   │       │   │   ├── lato-bold.ttf
        │   │   │       │   │   ├── lato-bold.woff
        │   │   │       │   │   ├── lato-bold.woff2
        │   │   │       │   │   ├── lato-bolditalic.eot
        │   │   │       │   │   ├── lato-bolditalic.ttf
        │   │   │       │   │   ├── lato-bolditalic.woff
        │   │   │       │   │   ├── lato-bolditalic.woff2
        │   │   │       │   │   ├── lato-italic.eot
        │   │   │       │   │   ├── lato-italic.ttf
        │   │   │       │   │   ├── lato-italic.woff
        │   │   │       │   │   ├── lato-italic.woff2
        │   │   │       │   │   ├── lato-regular.eot
        │   │   │       │   │   ├── lato-regular.ttf
        │   │   │       │   │   ├── lato-regular.woff
        │   │   │       │   │   └── lato-regular.woff2
        │   │   │       │   ├── RobotoSlab-Bold.ttf
        │   │   │       │   ├── RobotoSlab-Regular.ttf
        │   │   │       │   ├── RobotoSlab
        │   │   │       │   │   ├── roboto-slab-v7-bold.eot
        │   │   │       │   │   ├── roboto-slab-v7-bold.ttf
        │   │   │       │   │   ├── roboto-slab-v7-bold.woff
        │   │   │       │   │   ├── roboto-slab-v7-bold.woff2
        │   │   │       │   │   ├── roboto-slab-v7-regular.eot
        │   │   │       │   │   ├── roboto-slab-v7-regular.ttf
        │   │   │       │   │   ├── roboto-slab-v7-regular.woff
        │   │   │       │   │   └── roboto-slab-v7-regular.woff2
        │   │   │       │   ├── fontawesome-webfont.eot
        │   │   │       │   ├── fontawesome-webfont.svg
        │   │   │       │   ├── fontawesome-webfont.ttf
        │   │   │       │   ├── fontawesome-webfont.woff
        │   │   │       │   └── fontawesome-webfont.woff2
        │   │   │       ├── jquery-3.2.1.js
        │   │   │       ├── jquery-3.4.1.js
        │   │   │       ├── jquery-3.5.1.js
        │   │   │       ├── jquery.js
        │   │   │       ├── js
        │   │   │       │   ├── badge_only.js
        │   │   │       │   ├── html5shiv-printshiv.min.js
        │   │   │       │   ├── html5shiv.min.js
        │   │   │       │   ├── modernizr.min.js
        │   │   │       │   └── theme.js
        │   │   │       ├── language_data.js
        │   │   │       ├── minus.png
        │   │   │       ├── plus.png
        │   │   │       ├── pygments.css
        │   │   │       ├── searchtools.js
        │   │   │       ├── underscore-1.13.1.js
        │   │   │       ├── underscore-1.3.1.js
        │   │   │       ├── underscore.js
        │   │   │       ├── up-pressed.png
        │   │   │       ├── up.png
        │   │   │       └── websupport.js
        │   │   │   ├── conf.html
        │   │   │   ├── index.html
        │   │   │   ├── modules.html
        │   │   │   ├── objects.inv
        │   │   │   ├── search.html
        │   │   │   └── searchindex.js
        │   ├── pipeline
        │   │   ├── FileWidget.py
        │   │   ├── New-Pipeline.py
        │   │   ├── Node.py
        │   │   ├── NodeFactory.py
        │   │   ├── NodzInterface.py
        │   │   ├── Pipeline.py
        │   │   ├── Pipeline.py.backup
        │   │   ├── QWidgetValueAccesser.py
        │   │   └── __init__.py
        │   ├── toolkits
        │   │   ├── Voicelab
        │   │   │   ├── .directory
        │   │   │   ├── F1F2PlotNode.py
        │   │   │   ├── IPA_Praat_symbols.csv
        │   │   │   ├── LoadVoicesNode.py
        │   │   │   ├── ManipulateLowerFormantsNode.py
        │   │   │   ├── ManipulateLowerPitchAndFormantsNode.py
        │   │   │   ├── ManipulatePitchHigherNode.py
        │   │   │   ├── ManipulatePitchLowerNode.py
        │   │   │   ├── ManipulateRaiseFormantsNode.py
        │   │   │   ├── ManipulateRaisePitchAndFormantsNode.py
        │   │   │   ├── ManipulateTruncateSoundsNode.py
        │   │   │   ├── MeasureAlphaRatioNode.py
        │   │   │   ├── MeasureCPPNode.py
        │   │   │   ├── MeasureDurationNode.py
        │   │   │   ├── MeasureEnergyNode.py
        │   │   │   ├── MeasureFormantNode.py
        │   │   │   ├── MeasureFormantPositionsNode.py
        │   │   │   ├── MeasureHNRVoiceSauceNode.py
        │   │   │   ├── MeasureHarmonicityNode.py
        │   │   │   ├── MeasureHarmonicsNode.py
        │   │   │   ├── MeasureIntensityNode.py
        │   │   │   ├── MeasureJitterNode.py
        │   │   │   ├── MeasureJitterPCANode.py
        │   │   │   ├── MeasureLTASNode.py
        │   │   │   ├── MeasureMFCCNode.py
        │   │   │   ├── MeasurePitchNode.py
        │   │   │   ├── MeasurePitchNodeTest.py
        │   │   │   ├── MeasurePitchRaptNode.py
        │   │   │   ├── MeasurePitchYinNode.py
        │   │   │   ├── MeasureSHRPNode.py
        │   │   │   ├── MeasureSNRNode.py
        │   │   │   ├── MeasureShimmerNode.py
        │   │   │   ├── MeasureSpectralShapeNode.py
        │   │   │   ├── MeasureSpectralTiltNode.py
        │   │   │   ├── MeasureSpeechRateNode.py
        │   │   │   ├── MeasureVocalTractEstimatesNode.py
        │   │   │   ├── ResampleSoundsNode.py
        │   │   │   ├── ReverseSoundsNode.py
        │   │   │   ├── RotateSpectrumNode.py
        │   │   │   ├── ScaleIntensityNode.py
        │   │   │   ├── VisualizeSpectrumNode.py
        │   │   │   ├── VisualizeVoiceNode.backup.py
        │   │   │   ├── VisualizeVoiceNode.py
        │   │   │   ├── VisualizeVoiceNodeTest.py
        │   │   │   ├── VoicelabNode.py
        │   │   │   ├── __init__.py
        │   │   │   ├── formanttmpfile.txt
        │   │   │   ├── parselmouth_cc.txt
        │   │   │   └── tmpfile.txt
        │   │   └── __init__.py
        │   ├── voicelab_script.backup.py
        │   └── voicelab_script.py
        ├── __init__.py
        ├── favicon.ico
        ├── tmp.wav
        ├── voicelab.py
        ├── voicelab_osx.spec
        ├── voicelab_ubuntu.spec
        └── voicelab_windows.spec
    └── tests
        ├── __init__.py
        ├── assets
            ├── audio
            │   ├── Prolific Data.ods
            │   ├── broken_file
            │   │   └── broken_file..wav
            │   ├── demographics.csv
            │   ├── female_mono_a.wav
            │   ├── female_mono_e.wav
            │   ├── female_mono_hi.wav
            │   ├── female_mono_i.wav
            │   ├── female_mono_o.wav
            │   ├── female_mono_sentence.wav
            │   ├── female_mono_u.wav
            │   ├── female_stereo_a.wav
            │   ├── female_stereo_e.wav
            │   ├── female_stereo_hi.wav
            │   ├── female_stereo_i.wav
            │   ├── female_stereo_o.wav
            │   ├── female_stereo_sentence.wav
            │   ├── female_stereo_u.wav
            │   ├── male_mono_a.wav
            │   ├── male_mono_e.wav
            │   ├── male_mono_hi.wav
            │   ├── male_mono_i.wav
            │   ├── male_mono_o.wav
            │   ├── male_mono_sentence.wav
            │   ├── male_mono_u.wav
            │   ├── male_stereo_a.wav
            │   ├── male_stereo_e.wav
            │   ├── male_stereo_hi.wav
            │   ├── male_stereo_i.wav
            │   ├── male_stereo_o.wav
            │   ├── male_stereo_sentence.wav
            │   ├── male_stereo_u.wav
            │   ├── max_formant.csv
            │   └── pitch_bounds.csv
            └── praat_scripts
            │   ├── max_formant.psc
            │   ├── pitch_bounds.psc
            │   └── praatF0.praat
        ├── test_ReverseSoundsNode.py
        └── test_VoiceLabNode.py


/.gitattributes:
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1 | * text=auto eol=lf
2 | *.{cmd,[cC][mM][dD]} text eol=crlf
3 | *.{bat,[bB][aA][tT]} text eol=crlf


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/.github/ISSUE_TEMPLATE/bug_report.md:
--------------------------------------------------------------------------------
 1 | ---
 2 | name: Bug report
 3 | about: Create a report to help us improve
 4 | title: ''
 5 | labels: ''
 6 | assignees: ''
 7 | 
 8 | ---
 9 | 
10 | **Describe the bug**
11 | A clear and concise description of what the bug is.
12 | 
13 | **To Reproduce**
14 | Steps to reproduce the behavior:
15 | 1. Go to '...'
16 | 2. Click on '....'
17 | 3. Scroll down to '....'
18 | 4. See error
19 | 
20 | **Expected behavior**
21 | A clear and concise description of what you expected to happen.
22 | 
23 | **Screenshots**
24 | If applicable, add screenshots to help explain your problem.
25 | 
26 | **Desktop (please complete the following information):**
27 |  - OS: [e.g. iOS]
28 |  - Browser [e.g. chrome, safari]
29 |  - Version [e.g. 22]
30 | 
31 | **Smartphone (please complete the following information):**
32 |  - Device: [e.g. iPhone6]
33 |  - OS: [e.g. iOS8.1]
34 |  - Browser [e.g. stock browser, safari]
35 |  - Version [e.g. 22]
36 | 
37 | **Additional context**
38 | Add any other context about the problem here.
39 | 


--------------------------------------------------------------------------------
/.github/ISSUE_TEMPLATE/feature_request.md:
--------------------------------------------------------------------------------
 1 | ---
 2 | name: Feature request
 3 | about: Suggest an idea for this project
 4 | title: ''
 5 | labels: ''
 6 | assignees: ''
 7 | 
 8 | ---
 9 | 
10 | **Is your feature request related to a problem? Please describe.**
11 | A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]
12 | 
13 | **Describe the solution you'd like**
14 | A clear and concise description of what you want to happen.
15 | 
16 | **Describe alternatives you've considered**
17 | A clear and concise description of any alternative solutions or features you've considered.
18 | 
19 | **Additional context**
20 | Add any other context or screenshots about the feature request here.
21 | 


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/.github/dependabot.yml:
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 1 | # To get started with Dependabot version updates, you'll need to specify which
 2 | # package ecosystems to update and where the package manifests are located.
 3 | # Please see the documentation for all configuration options:
 4 | # https://docs.github.com/github/administering-a-repository/configuration-options-for-dependency-updates
 5 | 
 6 | version: 2
 7 | updates:
 8 |   - package-ecosystem: "pip" # See documentation for possible values
 9 |     directory: "/" # Location of package manifests
10 |     schedule:
11 |       interval: "weekly"
12 | 


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/.github/workflows/documentation.yaml:
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 1 | name: Docs
 2 | on: [push, pull_request, workflow_dispatch]
 3 | permissions:
 4 |     contents: write
 5 | jobs:
 6 |   docs:
 7 |     runs-on: ubuntu-latest
 8 |     steps:
 9 |       - uses: actions/checkout@v3
10 |       - uses: actions/setup-python@v3
11 |       - name: Install dependencies
12 |         run: |
13 |           pip install sphinx sphinx_material
14 |       - name: Upgrade dependencies
15 |         run: pip install --upgrade sphinx sphinx_rtd_theme myst-parser
16 |       - name: Sphinx build
17 |         run: |
18 |           sphinx-build docs/_sources _build
19 |       - name: Deploy
20 |         uses: peaceiris/actions-gh-pages@v3
21 |         if: ${{ github.event_name == 'push' && github.ref == 'refs/heads/main' }}
22 |         with:
23 |           publish_branch: gh-pages
24 |           github_token: ${{ secrets.GITHUB_TOKEN }}
25 |           publish_dir: _build/
26 |           force_orphan: true
27 | 


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1 | Using version ^1.2.2 for sphinx-rtd-theme
2 | 
3 | Updating dependencies
4 | Resolving dependencies...
5 | 


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/SECURITY.md:
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 1 | # Security Policy
 2 | 
 3 | ## Supported Versions
 4 | 
 5 | Use this section to tell people about which versions of your project are
 6 | currently being supported with security updates.
 7 | 
 8 | | Version | Supported          |
 9 | | ------- | ------------------ |
10 | | 2.0.0   | :white_check_mark: |
11 | 
12 | ## Reporting a Vulnerability
13 | 
14 | Use this section to tell people how to report a vulnerability.
15 | 
16 | Tell them where to go, how often they can expect to get an update on a
17 | reported vulnerability, what to expect if the vulnerability is accepted or
18 | declined, etc.
19 | 


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1 | # Sphinx build info version 1
2 | # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
3 | config: b0ae62c733e4c2ae6657d52e24e79abd
4 | tags: 645f666f9bcd5a90fca523b33c5a78b7
5 | 


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/docs/_sources/conf.py:
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 1 | # -*- coding: utf-8 -*-
 2 | 
 3 | import sys, os
 4 | import sphinx_rtd_theme
 5 | #import sphinx_pdj_theme
 6 | #import sphinx_material
 7 | 
 8 | 
 9 | sys.path.insert(0, os.path.abspath(os.path.join('..', '..')))
10 | 
11 | extensions = [
12 |     'sphinx_rtd_theme',
13 |     'sphinx.ext.autodoc'
14 | ]
15 | 
16 | autodoc_default_flags = ['members', 'undoc-members', 'private-members', 'show-inheritance'] 
17 | html_theme = 'sphinx_rtd_theme'
18 | todo_include_todos = False
19 | templates_path = ['_templates']
20 | source_suffix = '.rst'
21 | master_doc = 'index'
22 | exclude_patterns = []
23 | add_function_parentheses = True
24 | add_module_names = True
25 | 
26 | project = u'VoiceLab'
27 | copyright = u'2023, David R Feinberg'
28 | 
29 | version = '2.2.0'
30 | release = '2.2.0'
31 | 
32 | 
33 | html_title = "VoiceLab: Automated Reproducible Acoustic Analysis"
34 | html_favicon = 'favicon.ico'
35 | html_static_path = ['../_static', '../_static/images', '../_images']
36 | html_domain_indices = False
37 | html_use_index = False
38 | html_show_sphinx = False
39 | htmlhelp_basename = 'VoiceLab'
40 | html_show_sourcelink = False
41 | 
42 | html_theme_options = {
43 |     'collapse_navigation': True,
44 |     'sticky_navigation': True,
45 |     'navigation_depth': 3,
46 |     'includehidden': False,
47 |     'titles_only': False
48 | }
49 | 
50 | 
51 | 


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 5 |     COLLAPSE_INDEX: false,
 6 |     BUILDER: 'html',
 7 |     FILE_SUFFIX: '.html',
 8 |     LINK_SUFFIX: '.html',
 9 |     HAS_SOURCE: true,
10 |     SOURCELINK_SUFFIX: '.txt',
11 |     NAVIGATION_WITH_KEYS: false,
12 |     SHOW_SEARCH_SUMMARY: true,
13 |     ENABLE_SEARCH_SHORTCUTS: true,
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 1 | /*!
 2 |  * Licensed under the Apache License, Version 2.0 (the "License"); you may not
 3 |  * use this file except in compliance with the License. You may obtain a copy
 4 |  * of the License at:
 5 |  *
 6 |  *   http://www.apache.org/licenses/LICENSE-2.0
 7 |  *
 8 |  * UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING, SOFTWARE
 9 |  * DISTRIBUTED UNDER THE LICENSE IS DISTRIBUTED ON AN "AS IS" BASIS,
10 |  * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, EITHER EXPRESS OR IMPLIED.
11 |  * SEE THE LICENSE FOR THE SPECIFIC LANGUAGE GOVERNING PERMISSIONS AND
12 |  * LIMITATIONS UNDER THE LICENSE.
13 |  */@font-face{font-display:swap;font-family:"Material Icons";font-style:normal;font-weight:400;src:local("Material Icons"),local("MaterialIcons-Regular"),url("specimen/MaterialIcons-Regular.woff2") format("woff2"),url("specimen/MaterialIcons-Regular.woff") format("woff"),url("specimen/MaterialIcons-Regular.ttf") format("truetype")}


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1 | !function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(m){if(void 0===m)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===m.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");var l="2"==m.version[0];m.ja=function(){this.pipeline.reset(),this.pipeline.add(m.ja.trimmer,m.ja.stopWordFilter,m.ja.stemmer),l?this.tokenizer=m.ja.tokenizer:(m.tokenizer&&(m.tokenizer=m.ja.tokenizer),this.tokenizerFn&&(this.tokenizerFn=m.ja.tokenizer))};var j=new m.TinySegmenter;m.ja.tokenizer=function(e){var r,t,i,n,o,s,p,a,u;if(!arguments.length||null==e||null==e)return[];if(Array.isArray(e))return e.map(function(e){return l?new m.Token(e.toLowerCase()):e.toLowerCase()});for(r=(t=e.toString().toLowerCase().replace(/^\s+/,"")).length-1;0<=r;r--)if(/\S/.test(t.charAt(r))){t=t.substring(0,r+1);break}for(o=[],i=t.length,p=a=0;a<=i;a++)if(s=a-p,t.charAt(a).match(/\s/)||a==i){if(0<s)for(n=j.segment(t.slice(p,a)).filter(function(e){return!!e}),u=p,r=0;r<n.length;r++)l?o.push(new m.Token(n[r],{position:[u,n[r].length],index:o.length})):o.push(n[r]),u+=n[r].length;p=a+1}return o},m.ja.stemmer=function(e){return e},m.Pipeline.registerFunction(m.ja.stemmer,"stemmer-ja"),m.ja.wordCharacters="一二三四五六七八九十百千万億兆一-龠々〆ヵヶぁ-んァ-ヴーｱ-ﾝﾞa-zA-Zａ-ｚＡ-Ｚ0-9０-９",m.ja.trimmer=m.trimmerSupport.generateTrimmer(m.ja.wordCharacters),m.Pipeline.registerFunction(m.ja.trimmer,"trimmer-ja"),m.ja.stopWordFilter=m.generateStopWordFilter("これ それ あれ この その あの ここ そこ あそこ こちら どこ だれ なに なん 何 私 貴方 貴方方 我々 私達 あの人 あのかた 彼女 彼 です あります おります います は が の に を で え から まで より も どの と し それで しかし".split(" ")),m.Pipeline.registerFunction(m.ja.stopWordFilter,"stopWordFilter-ja"),m.jp=m.ja,m.Pipeline.registerFunction(m.jp.stemmer,"stemmer-jp"),m.Pipeline.registerFunction(m.jp.trimmer,"trimmer-jp"),m.Pipeline.registerFunction(m.jp.stopWordFilter,"stopWordFilter-jp")}});


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1 | module.exports=require("./lunr.ja");


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1 | !function(e,i){"function"==typeof define&&define.amd?define(i):"object"==typeof exports?module.exports=i():i()(e.lunr)}(this,function(){return function(o){o.multiLanguage=function(){for(var e=Array.prototype.slice.call(arguments),i=e.join("-"),t="",r=[],n=[],s=0;s<e.length;++s)"en"==e[s]?(t+="\\w",r.unshift(o.stopWordFilter),r.push(o.stemmer),n.push(o.stemmer)):(t+=o[e[s]].wordCharacters,r.unshift(o[e[s]].stopWordFilter),r.push(o[e[s]].stemmer),n.push(o[e[s]].stemmer));var p=o.trimmerSupport.generateTrimmer(t);return o.Pipeline.registerFunction(p,"lunr-multi-trimmer-"+i),r.unshift(p),function(){this.pipeline.reset(),this.pipeline.add.apply(this.pipeline,r),this.searchPipeline&&(this.searchPipeline.reset(),this.searchPipeline.add.apply(this.searchPipeline,n))}}}});


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1 | !function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(t){if(void 0===t)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===t.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");var i="2"==t.version[0];t.th=function(){this.pipeline.reset(),this.pipeline.add(t.th.trimmer),i?this.tokenizer=t.th.tokenizer:(t.tokenizer&&(t.tokenizer=t.th.tokenizer),this.tokenizerFn&&(this.tokenizerFn=t.th.tokenizer))},t.th.wordCharacters="[฀-๿]",t.th.trimmer=t.trimmerSupport.generateTrimmer(t.th.wordCharacters),t.Pipeline.registerFunction(t.th.trimmer,"trimmer-th");var n=t.wordcut;n.init(),t.th.tokenizer=function(e){if(!arguments.length||null==e||null==e)return[];if(Array.isArray(e))return e.map(function(e){return i?new t.Token(e):e});var r=e.toString().replace(/^\s+/,"");return n.cut(r).split("|")}}});


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 1 | function add_version_dropdown(json_loc, target_loc, text) {
 2 | 
 3 |     var dropdown = document.createElement("div");
 4 |     dropdown.className = "md-flex__cell md-flex__cell--shrink dropdown";
 5 |     var button = document.createElement("button");
 6 |     button.className = "dropdownbutton";
 7 |     var content = document.createElement("div");
 8 |     content.className = "dropdown-content md-hero";
 9 |     dropdown.appendChild(button);
10 |     dropdown.appendChild(content);
11 |     $.getJSON(json_loc, function(versions) {
12 |         for (var key in versions) {
13 |             if (versions.hasOwnProperty(key)) {
14 |                 console.log(key, versions[key]);
15 |                 var a = document.createElement("a");
16 |                 a.innerHTML = key;
17 |                 a.title = key;
18 |                 a.href = target_loc + versions[key];
19 |                 content.appendChild(a);
20 |             }
21 |         }
22 |     }).done(function() {
23 |         button.innerHTML = text;
24 |     }).fail(function() {
25 |         button.innerHTML = "Other Versions Not Found";
26 |     }).always(function() {
27 |         $(".navheader").append(dropdown);
28 |     });
29 | };
30 | 


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1 | /**
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/long_description:
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 1 | #VoiceLab: Fully Automated Reproducible Acoustical Analysis
 2 | VoiceLab is an automated voice analysis software. 
 3 | What this software does is allow you to measure, 
 4 | manipulate, and visualize many voices at once, without messing with 
 5 | analysis parameters. You can also save all of
 6 | your data, analysis parameters, manipulated voices, and full colour
 7 | spectrograms and power spectra, with the press of one button.
 8 | 
 9 | 
10 | # VoiceLab
11 | VoiceLab is written in Python and relies heavily on a package called
12 | parselmouth-praat. parselmouth-praat is a Python package that
13 | essentially turns Praat\'s source code written in C and C++ into a
14 | Pythonic interface. What that means is that any praat measurement in
15 | this software is using actual Praat source code, so you can trust the
16 | underlying algorithms. VoiceLab also contains several features from 
17 | Voice Sauce, another amazing acoustic analysis software.
18 | 
19 | Voice Lab figures out all of the analysis
20 | parameters for you, but you can always use your own, and these are the
21 | same parameters as in Praat, and they do the exact same thing because it
22 | is Praat\'s source code powering everything. That means if you are a
23 | beginner an expert, or anything in-between, you can use this software to
24 | automate your acoustical analyses.
25 | 
26 | All of the code is open source and available on our GitHub repository,
27 | so if this manual isn\'t in-depth enough, and you want to see exactly
28 | what\'s going on, go for it. It is under the MIT license, so you are
29 | free to do what you like with the software as long as you give us
30 | credit.
31 | 


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/pyproject.toml:
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 1 | [tool.poetry]
 2 | name = "voicelab"
 3 | version = "2.0.0"
 4 | description = "Automated Reproducible Voice Analysis"
 5 | authors = ["David Feinberg <feinberg@mcmaster.ca>"]
 6 | license = "MIT"
 7 | readme = "README.md"
 8 | 
 9 | [tool.poetry.dependencies]
10 | python = ">=3.9, <=3.11.10"
11 | llvmlite = "=0.42.0"
12 | numpy = ">=1.22"
13 | pyqt5-qt5 = ">=5.15.3"
14 | QDarkStyle = "3.2.3"
15 | praat-parselmouth = ">=0.4.1"
16 | librosa = ">=0.10.1"
17 | openpyxl = ">=3.1.2"
18 | seaborn = ">=0.13.2"
19 | 
20 | [tool.poetry.group.dev.dependencies]
21 | PyInstaller = ">=5.10,<7.0"
22 | Sphinx = "<8.0.0"
23 | sphinx-autodoc2 = ">=0.4.2"
24 | sphinx_rtd_theme = ">=0.1.0"
25 | pytest = ">=7.3.0"
26 | myst = "^1.0.4"
27 | myst-parser = ">=2,<4"
28 | 
29 | [build-system]
30 | requires = ["poetry-core"]
31 | build-backend = "poetry.core.masonry.api"
32 | 
33 | [tool.poetry.scripts]
34 | voicelab = "voicelab.src.Voicelab.voicelab_script:main"
35 | 


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1 | # Sphinx build info version 1
2 | # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
3 | config: 1f514f057857f75568762f21eec1bbf5
4 | tags: 645f666f9bcd5a90fca523b33c5a78b7
5 | 


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1 | 
2 | 


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 1 | # -*- coding: utf-8 -*-
 2 | 
 3 | import sys, os
 4 | #import sphinx_rtd_theme
 5 | #import sphinx_pdj_theme
 6 | import sphinx_material
 7 | 
 8 | 
 9 | sys.path.insert(0, os.path.abspath(os.path.join('..', '..')))
10 | 
11 | extensions = [
12 |     #'sphinx_rtd_theme',
13 |     'sphinx.ext.autodoc'
14 | ]
15 | 
16 | #html_theme = "sphinx_rtd_theme"
17 | #html_theme = 'sphinx_pdj_theme'
18 | html_theme = 'sphinx_material'
19 | #htm_theme_path = [sphinx_pdj_theme.get_html_theme_path()]
20 | 
21 | 
22 | todo_include_todos = True
23 | templates_path = ['_templates']
24 | source_suffix = '.rst'
25 | master_doc = 'index'
26 | exclude_patterns = []
27 | add_function_parentheses = True
28 | add_module_names = True
29 | # A list of ignored prefixes for module index sorting.
30 | #modindex_common_prefix = []
31 | 
32 | project = u'VoiceLab'
33 | copyright = u'2022, David R Feinberg'
34 | 
35 | version = '1.3.0'
36 | release = '1.3.0'
37 | 
38 | # -- Options for HTML output ---------------------------------------------------
39 | 
40 | #html_theme = "sphinx_rtd_theme"
41 | html_title = "VoiceLab: Automated Reproducible Acoustic Analysis"
42 | #html_short_title = None
43 | #html_logo = None
44 | html_favicon = 'favicon.ico'
45 | html_static_path = ['_static', '_static/images', '_images']
46 | html_domain_indices = False
47 | html_use_index = False
48 | html_show_sphinx = False
49 | htmlhelp_basename = 'VoiceLab'
50 | html_show_sourcelink = False
51 | 
52 | html_theme_options = {
53 |     'collapse_navigation': True,
54 |     'sticky_navigation': True,
55 |     'navigation_depth': 3,
56 |     'includehidden': False,
57 |     'titles_only': False
58 | }
59 | 


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 6 |  *   http://www.apache.org/licenses/LICENSE-2.0
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 8 |  * UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING, SOFTWARE
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10 |  * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, EITHER EXPRESS OR IMPLIED.
11 |  * SEE THE LICENSE FOR THE SPECIFIC LANGUAGE GOVERNING PERMISSIONS AND
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1 | module.exports=require("./lunr.ja");


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1 | !function(e,r){"function"==typeof define&&define.amd?define(r):"object"==typeof exports?module.exports=r():r()(e.lunr)}(this,function(){return function(t){if(void 0===t)throw new Error("Lunr is not present. Please include / require Lunr before this script.");if(void 0===t.stemmerSupport)throw new Error("Lunr stemmer support is not present. Please include / require Lunr stemmer support before this script.");var i="2"==t.version[0];t.th=function(){this.pipeline.reset(),this.pipeline.add(t.th.trimmer),i?this.tokenizer=t.th.tokenizer:(t.tokenizer&&(t.tokenizer=t.th.tokenizer),this.tokenizerFn&&(this.tokenizerFn=t.th.tokenizer))},t.th.wordCharacters="[฀-๿]",t.th.trimmer=t.trimmerSupport.generateTrimmer(t.th.wordCharacters),t.Pipeline.registerFunction(t.th.trimmer,"trimmer-th");var n=t.wordcut;n.init(),t.th.tokenizer=function(e){if(!arguments.length||null==e||null==e)return[];if(Array.isArray(e))return e.map(function(e){return i?new t.Token(e):e});var r=e.toString().replace(/^\s+/,"");return n.cut(r).split("|")}}});


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 1 | function add_version_dropdown(json_loc, target_loc, text) {
 2 | 
 3 |     var dropdown = document.createElement("div");
 4 |     dropdown.className = "md-flex__cell md-flex__cell--shrink dropdown";
 5 |     var button = document.createElement("button");
 6 |     button.className = "dropdownbutton";
 7 |     var content = document.createElement("div");
 8 |     content.className = "dropdown-content md-hero";
 9 |     dropdown.appendChild(button);
10 |     dropdown.appendChild(content);
11 |     $.getJSON(json_loc, function(versions) {
12 |         for (var key in versions) {
13 |             if (versions.hasOwnProperty(key)) {
14 |                 console.log(key, versions[key]);
15 |                 var a = document.createElement("a");
16 |                 a.innerHTML = key;
17 |                 a.title = key;
18 |                 a.href = target_loc + versions[key];
19 |                 content.appendChild(a);
20 |             }
21 |         }
22 |     }).done(function() {
23 |         button.innerHTML = text;
24 |     }).fail(function() {
25 |         button.innerHTML = "Other Versions Not Found";
26 |     }).always(function() {
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28 |     });
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1 | /**
2 | * @preserve HTML5 Shiv 3.7.3 | @afarkas @jdalton @jon_neal @rem | MIT/GPL2 Licensed
3 | */
4 | !function(a,b){function c(a,b){var c=a.createElement("p"),d=a.getElementsByTagName("head")[0]||a.documentElement;return c.innerHTML="x<style>"+b+"</style>",d.insertBefore(c.lastChild,d.firstChild)}function d(){var a=t.elements;return"string"==typeof a?a.split(" "):a}function e(a,b){var c=t.elements;"string"!=typeof c&&(c=c.join(" ")),"string"!=typeof a&&(a=a.join(" ")),t.elements=c+" "+a,j(b)}function f(a){var b=s[a[q]];return b||(b={},r++,a[q]=r,s[r]=b),b}function g(a,c,d){if(c||(c=b),l)return c.createElement(a);d||(d=f(c));var e;return e=d.cache[a]?d.cache[a].cloneNode():p.test(a)?(d.cache[a]=d.createElem(a)).cloneNode():d.createElem(a),!e.canHaveChildren||o.test(a)||e.tagUrn?e:d.frag.appendChild(e)}function h(a,c){if(a||(a=b),l)return a.createDocumentFragment();c=c||f(a);for(var e=c.frag.cloneNode(),g=0,h=d(),i=h.length;i>g;g++)e.createElement(h[g]);return e}function i(a,b){b.cache||(b.cache={},b.createElem=a.createElement,b.createFrag=a.createDocumentFragment,b.frag=b.createFrag()),a.createElement=function(c){return t.shivMethods?g(c,a,b):b.createElem(c)},a.createDocumentFragment=Function("h,f","return function(){var n=f.cloneNode(),c=n.createElement;h.shivMethods&&("+d().join().replace(/[\w\-:]+/g,function(a){return b.createElem(a),b.frag.createElement(a),'c("'+a+'")'})+");return n}")(t,b.frag)}function j(a){a||(a=b);var d=f(a);return!t.shivCSS||k||d.hasCSS||(d.hasCSS=!!c(a,"article,aside,dialog,figcaption,figure,footer,header,hgroup,main,nav,section{display:block}mark{background:#FF0;color:#000}template{display:none}")),l||i(a,d),a}var k,l,m="3.7.3-pre",n=a.html5||{},o=/^<|^(?:button|map|select|textarea|object|iframe|option|optgroup)$/i,p=/^(?:a|b|code|div|fieldset|h1|h2|h3|h4|h5|h6|i|label|li|ol|p|q|span|strong|style|table|tbody|td|th|tr|ul)$/i,q="_html5shiv",r=0,s={};!function(){try{var a=b.createElement("a");a.innerHTML="<xyz></xyz>",k="hidden"in a,l=1==a.childNodes.length||function(){b.createElement("a");var a=b.createDocumentFragment();return"undefined"==typeof a.cloneNode||"undefined"==typeof a.createDocumentFragment||"undefined"==typeof a.createElement}()}catch(c){k=!0,l=!0}}();var t={elements:n.elements||"abbr article aside audio bdi canvas data datalist details dialog figcaption figure footer header hgroup main mark meter nav output picture progress section summary template time video",version:m,shivCSS:n.shivCSS!==!1,supportsUnknownElements:l,shivMethods:n.shivMethods!==!1,type:"default",shivDocument:j,createElement:g,createDocumentFragment:h,addElements:e};a.html5=t,j(b),"object"==typeof module&&module.exports&&(module.exports=t)}("undefined"!=typeof window?window:this,document);


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 1 | // setting highlight for async stuff in python
 2 | var async_kw = ['async', 'await'];
 3 | jQuery.each(async_kw, function(i, kw){
 4 |   var elements = jQuery(".highlight-python .n:contains('" + kw + "')");
 5 | 
 6 |   jQuery.each(elements, function(j, el){
 7 |     el = jQuery(el);
 8 |     if (el.text() == kw){
 9 |       el.removeClass('n');
10 |       el.addClass('kn');
11 |     };
12 |   });
13 | });
14 | 


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 1 | $( document ).ready(function() {
 2 |     // Shift nav in mobile when clicking the menu.
 3 |     $(document).on('click', "[data-toggle='wy-nav-top']", function() {
 4 |       $("[data-toggle='wy-nav-shift']").toggleClass("shift");
 5 |       $("[data-toggle='rst-versions']").toggleClass("shift");
 6 |     });
 7 |     // Close menu when you click a link.
 8 |     $(document).on('click', ".wy-menu-vertical .current ul li a", function() {
 9 |       $("[data-toggle='wy-nav-shift']").removeClass("shift");
10 |       $("[data-toggle='rst-versions']").toggleClass("shift");
11 |     });
12 |     $(document).on('click', "[data-toggle='rst-current-version']", function() {
13 |       $("[data-toggle='rst-versions']").toggleClass("shift-up");
14 |     });  
15 |     // Make tables responsive
16 |     $("table.docutils:not(.field-list)").wrap("<div class='wy-table-responsive'></div>");
17 | });
18 | 
19 | window.SphinxRtdTheme = (function (jquery) {
20 |     var stickyNav = (function () {
21 |         var navBar,
22 |             win,
23 |             stickyNavCssClass = 'stickynav',
24 |             applyStickNav = function () {
25 |                 if (navBar.height() <= win.height()) {
26 |                     navBar.addClass(stickyNavCssClass);
27 |                 } else {
28 |                     navBar.removeClass(stickyNavCssClass);
29 |                 }
30 |             },
31 |             enable = function () {
32 |                 applyStickNav();
33 |                 win.on('resize', applyStickNav);
34 |             },
35 |             init = function () {
36 |                 navBar = jquery('nav.wy-nav-side:first');
37 |                 win    = jquery(window);
38 |             };
39 |         jquery(init);
40 |         return {
41 |             enable : enable
42 |         };
43 |     }());
44 |     return {
45 |         StickyNav : stickyNav
46 |     };
47 | }($));
48 | 


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 1 | .dropdown {
 2 |     width: 125px;
 3 |     vertical-align: middle;
 4 | }
 5 | 
 6 | .dropdownbutton {
 7 |     color: inherit;
 8 |     font-weight: 700;
 9 |     font-size: .65rem;
10 | 
11 | }
12 | 
13 | .dropdown-content {
14 |     display: none;
15 |     position: absolute;
16 |     z-index: 1;
17 |     background-color: inherit;
18 | }
19 | 
20 | .dropdown-content a {
21 |     display: block;
22 |     width: 125px;
23 |     margin: 8px;
24 |     font-size: .65rem;
25 |     font-weight: 200;
26 | }
27 | 
28 | /* Change color of dropdown links on hover */
29 | .dropdown-content a:hover {}
30 | 
31 | /* Show the dropdown menu on hover */
32 | .dropdown:hover .dropdown-content {display: block;}
33 | 
34 | /* Change the background color of the dropdown button when the dropdown content is shown */
35 | .dropdown:hover .dropbtn {}


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 1 | <!DOCTYPE html>
 2 | <html class="writer-html5" lang="en" >
 3 | <head>
 4 |   <meta charset="utf-8" />
 5 |   <meta name="viewport" content="width=device-width, initial-scale=1.0" />
 6 |   <title>Index &mdash; VoiceLab  documentation</title>
 7 |       <link rel="stylesheet" href="_static/pygments.css" type="text/css" />
 8 |       <link rel="stylesheet" href="_static/css/theme.css" type="text/css" />
 9 |   <!--[if lt IE 9]>
10 |     <script src="_static/js/html5shiv.min.js"></script>
11 |   <![endif]-->
12 |   
13 |         <script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
14 |         <script src="_static/jquery.js"></script>
15 |         <script src="_static/underscore.js"></script>
16 |         <script src="_static/doctools.js"></script>
17 |     <script src="_static/js/theme.js"></script>
18 |     <link rel="index" title="Index" href="#" />
19 |     <link rel="search" title="Search" href="search.html" /> 
20 | </head>
21 | 
22 | <body class="wy-body-for-nav"> 
23 |   <div class="wy-grid-for-nav">
24 |     <nav data-toggle="wy-nav-shift" class="wy-nav-side">
25 |       <div class="wy-side-scroll">
26 |         <div class="wy-side-nav-search" >
27 |             <a href="index.html" class="icon icon-home"> VoiceLab
28 |           </a>
29 | <div role="search">
30 |   <form id="rtd-search-form" class="wy-form" action="search.html" method="get">
31 |     <input type="text" name="q" placeholder="Search docs" />
32 |     <input type="hidden" name="check_keywords" value="yes" />
33 |     <input type="hidden" name="area" value="default" />
34 |   </form>
35 | </div>
36 |         </div><div class="wy-menu wy-menu-vertical" data-spy="affix" role="navigation" aria-label="Navigation menu">
37 |               <!-- Local TOC -->
38 |               <div class="local-toc"></div>
39 |         </div>
40 |       </div>
41 |     </nav>
42 | 
43 |     <section data-toggle="wy-nav-shift" class="wy-nav-content-wrap"><nav class="wy-nav-top" aria-label="Mobile navigation menu" >
44 |           <i data-toggle="wy-nav-top" class="fa fa-bars"></i>
45 |           <a href="index.html">VoiceLab</a>
46 |       </nav>
47 | 
48 |       <div class="wy-nav-content">
49 |         <div class="rst-content">
50 |           <div role="navigation" aria-label="Page navigation">
51 |   <ul class="wy-breadcrumbs">
52 |       <li><a href="index.html" class="icon icon-home"></a> &raquo;</li>
53 |       <li>Index</li>
54 |       <li class="wy-breadcrumbs-aside">
55 |       </li>
56 |   </ul>
57 |   <hr/>
58 | </div>
59 |           <div role="main" class="document" itemscope="itemscope" itemtype="http://schema.org/Article">
60 |            <div itemprop="articleBody">
61 |              
62 | 
63 | <h1 id="index">Index</h1>
64 | 
65 | <div class="genindex-jumpbox">
66 |  
67 | </div>
68 | 
69 | 
70 |            </div>
71 |           </div>
72 |           <footer>
73 | 
74 |   <hr/>
75 | 
76 |   <div role="contentinfo">
77 |     <p>&#169; Copyright 2021, David Feinberg &amp; Oliver Cook.</p>
78 |   </div>
79 | 
80 |   Built with <a href="https://www.sphinx-doc.org/">Sphinx</a> using a
81 |     <a href="https://github.com/readthedocs/sphinx_rtd_theme">theme</a>
82 |     provided by <a href="https://readthedocs.org">Read the Docs</a>.
83 |    
84 | 
85 | </footer>
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87 |       </div>
88 |     </section>
89 |   </div>
90 |   <script>
91 |       jQuery(function () {
92 |           SphinxRtdTheme.Navigation.enable(true);
93 |       });
94 |   </script> 
95 | 
96 | </body>
97 | </html>


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/voicelab/src/LICENSE:
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 1 | MIT License
 2 | 
 3 | Copyright (c) 2023 David R. Feinberg
 4 | 
 5 | Permission is hereby granted, free of charge, to any person obtaining a copy
 6 | of this software and associated documentation files (the "Software"), to deal
 7 | in the Software without restriction, including without limitation the rights
 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 9 | copies of the Software, and to permit persons to whom the Software is
10 | furnished to do so, subject to the following conditions:
11 | 
12 | The above copyright notice and this permission notice shall be included in all
13 | copies or substantial portions of the Software.
14 | 
15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
21 | SOFTWARE.
22 | 


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/voicelab/src/Voicelab/VoicelabGUI/ExperimentalTab.py:
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 1 | from PyQt5.QtGui import *
 2 | from PyQt5.QtWidgets import *
 3 | from PyQt5.QtCore import *
 4 | 
 5 | from Voicelab.VoicelabWizard.VoicelabTab import VoicelabTab
 6 | 
 7 | 
 8 | ###################################################################################################
 9 | # OutputTab(VoicelabTab) : presentation widget for displaying and the results of our pipeline process
10 | ###################################################################################################
11 | class F1F2PlotWindow(QMainWindow):
12 |     def __init__(self):
13 |         super().__init__()
14 |         self.setWindowTitle("F1 F2 Plot")
15 |         self.setMinimumSize(400, 400)
16 |         self.label = QLabel(self)
17 |         self.pixmap = QPixmap('f1f2.png')
18 |         #self.selected_tab = 0
19 |         self.container_layout = QVBoxLayout(self)
20 |         self.setLayout(self.container_layout)
21 |         # Display image
22 |         print("label size: ", self.label.size())
23 |         self.label.setPixmap(self.pixmap.scaled(self.label.size(), Qt.KeepAspectRatio, Qt.SmoothTransformation))
24 | 
25 |         self.label.setSizePolicy(QSizePolicy.Expanding,
26 |                                  QSizePolicy.Expanding)
27 |         self.label.setAlignment(Qt.AlignCenter)
28 |         self.label.setMinimumSize(400, 400)
29 | 
30 |         self.container_layout.addWidget(self.label)
31 |         self.show()
32 | 
33 |     def resizeEvent(self, a0: QResizeEvent) -> None:
34 |         pixmap1 = QPixmap("f1f2.png")
35 |         self.pixmap = pixmap1.scaled(self.width(), self.height(),
36 |                                      Qt.KeepAspectRatio, Qt.SmoothTransformation
37 |                                      )
38 |         self.label.setPixmap(self.pixmap)
39 |         self.label.resize(self.width(), self.height())
40 | 
41 |     #def resizeEvent(self, event):
42 |     #    scaledSize = self.label.size()
43 |     #    scaledSize.scale(self.label.size(), Qt.KeepAspectRatio)
44 |     #    if not self.label.pixmap() or scaledSize != self.label.pixmap().size():
45 |     #        self.updateLabel()
46 | #
47 |     #def updateLabel(self):
48 |     #    self.label.setPixmap(self.pixmap.scaled(
49 |     #        self.label.size(), Qt.KeepAspectRatio,
50 |     #        Qt.SmoothTransformation))
51 | 
52 | 
53 | class ExperimentalTab(VoicelabTab):
54 |     def __init__(self, data_controller, signals, tabs, *args, **kwargs):
55 |         """
56 |         Args:
57 |             data_controller:
58 |             signals:
59 |             tabs:
60 |             *args:
61 |             **kwargs:
62 |         """
63 |         super().__init__(data_controller, signals, tabs, *args, **kwargs)
64 | 
65 |         self.f1f2button = QPushButton("Click to View F1 F2 Plot.")
66 |         self.layout = QVBoxLayout()
67 |         self.layout.addWidget(self.f1f2button)
68 |         self.setLayout(self.layout)
69 |         self.f1f2button.clicked.connect(self.on_click)
70 |         #self.tabs = tabs
71 | 
72 |     @pyqtSlot()
73 |     def on_click(self):
74 |         self.f1f2button.clicked.connect(self.popupwindow)
75 | 
76 |     def popupwindow(self):
77 |         self.plotwindow = F1F2PlotWindow()
78 |         self.plotwindow.show()
79 |         self.hide()
80 | 
81 | 


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/voicelab/src/Voicelab/VoicelabGUI/F1F2PlotWindow.py:
--------------------------------------------------------------------------------
 1 | from PyQt5.QtGui import *
 2 | from PyQt5.QtGui import QPixmap
 3 | from PyQt5.QtWidgets import *
 4 | from PyQt5.QtCore import *
 5 | 
 6 | 
 7 | ###################################################################################################
 8 | # Displays the F1F2 Plot in a new window
 9 | ###################################################################################################
10 | class F1F2PlotWindow(QMainWindow):
11 |     """This class creates a new window to display F1 F2 Plot.  It is to be called from F1F2PlotNode."""
12 |     def __init__(self):
13 |         super().__init__()
14 |         self.setWindowTitle("View F1 F2 Plot") 
15 |         # self.setMinimumSize() has to match self.label.setMinimumSize()
16 |         self.setMinimumSize(600, 600)
17 |         # create a label object inside the new window
18 |         self.label = QLabel(self)
19 |         # set the image file
20 |         self.pixmap = QPixmap('f1f2.png')
21 | 
22 |         # TODO fix this so we don't get the warning anymore
23 |         # set the central widget
24 |         #self.central_widget = QWidget(self)
25 |         #self.setCentralWidget(self.central_widget)
26 | 
27 | 
28 |         # Create a container in the label to put image
29 |         self.container_layout = QVBoxLayout(self)
30 |         # set the layout of the container
31 |         self.setLayout(self.container_layout)
32 |         # resize the image
33 |         self.label.setPixmap(self.pixmap.scaled(self.label.size(), Qt.KeepAspectRatio, Qt.SmoothTransformation))
34 |         self.label.setSizePolicy(QSizePolicy.Expanding,
35 |                                  QSizePolicy.Expanding)
36 |         self.label.setAlignment(Qt.AlignCenter)
37 |         self.label.setMinimumSize(600, 600)
38 |         # add the image widget to the window
39 |         self.container_layout.addWidget(self.label)
40 |         # display the widget
41 |         self.show()
42 | 
43 |     def resizeEvent(self, a0: QResizeEvent) -> None:
44 |         """Resizes the image when you resize the window"""
45 |         newpixmap: QPixmap = QPixmap("f1f2.png")
46 |         self.pixmap = newpixmap.scaled(self.width(), self.height(), Qt.KeepAspectRatio, Qt.SmoothTransformation)
47 |         self.label.setPixmap(self.pixmap)
48 |         self.label.resize(self.width(), self.height())
49 | 


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/voicelab/src/Voicelab/VoicelabGUI/HOW-TO-GUIDE.txt:
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 1 |  HOW-TO GUIDE:
 2 |  To add a new function:
 3 |      1. Create a node class with a process function containing the required functionality
 4 |      2. Import the class in default_settings.py or in the Voicelab __init__.py file
 5 |      3. Add an instance of it to the available_functions dictionary with a human readable key (this
 6 |         will become the label for it used throughout)
 7 |      OPTIONALLY IN default_settings.py
 8 |      4. (Make it run by default) Add the name of the function to the default_functions dict
 9 |      5. (Visualize data on the spectrogram plot) Add the name of the function to the visualize_list
10 |         along with the label of the return variable that will be visualized. Data returned from that function
11 |         on that label will be passed into the VisualizeVoices node during run time. The VisualizeVoices node
12 |         will have to be updated to reflect these changes and define behaviour for displaying this data.
13 |      6. (Recieve data from other nodes) The nodes run as a graph of sequentially connected function nodes
14 |         To link a node downstream (that is, pass data in from another node during run-time) add the node to
15 |         the function_requirements dictionary along with a list of tuples defining where to find the data
16 |         This is in the form of 'CHILD_FUNCTION_NAME': [('PARENT_FUNCTION_NAME', 'VARIABLE_NAME'), ...]
17 |         Each tuple in the list only defines the data path for one parent, one child, and on one labeled return variable,
18 |         but each parent and variable can be represented any number of times in the list.
19 |  Allow displaying additional variable types:
20 |     1. Add the variable type to the display_whitelist
21 |     2. Write functionality for displaying this data type into ResultsTab.py
22 | 


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/voicelab/src/Voicelab/VoicelabGUI/VoicelabTab.py:
--------------------------------------------------------------------------------
 1 | from PyQt5.QtGui import *
 2 | from PyQt5.QtWidgets import *
 3 | from PyQt5.QtCore import *
 4 | 
 5 | 
 6 | class VoicelabTab(QWidget):
 7 |     def __init__(self, data_controller, signals, tabs, *args, **kwargs):
 8 |         """
 9 |         Args:
10 |             data_controller:
11 |             signals:
12 |             tabs:
13 |             *args:
14 |             **kwargs:
15 |         """
16 |         super().__init__(*args, **kwargs)
17 |         self.data_controller = data_controller
18 |         self.signals = signals
19 |         self.tabs = tabs
20 | 
21 |     ###############################################################################################
22 |     # start_process: start processing the data through the pipeline
23 |     ###############################################################################################
24 |     def start_process(self):
25 |         """start_process -tells the data controller to start processing"""
26 |         pipeline_results = self.data_controller.start_processing(
27 |             self.data_controller.active_voices,
28 |             self.data_controller.active_functions,
29 |             self.data_controller.active_settings,
30 | 
31 |         )
32 | 
33 |         # todo figure out where pipeline_results ends up
34 |         # notify all those listening that the processing has completed
35 |         self.signals["on_processing_completed"].emit(
36 |             self.data_controller.active_results
37 |         )
38 | 
39 |     ###############################################################################################
40 |     # on_completed: default callback function for when data processing is complete
41 |     ###############################################################################################
42 |     def on_completed(self, pipeline_results):
43 |         """
44 |         Args:
45 |             pipeline_results:
46 |         """
47 |         print("test", pipeline_results)
48 | 


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/voicelab/src/Voicelab/VoicelabGUI/__init__.py:
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/voicelab/src/Voicelab/__init__.py:
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1 | #from .VoicelabGUI.InputTab import InputTab
2 | #from .VoicelabGUI.SettingsTab import SettingsTab
3 | #from .VoicelabGUI.OutputTab import OutputTab
4 | #from .VoicelabGUI.VoicelabController import VoicelabController
5 | #from .VoicelabGUI.VoicelabDataModel import VoicelabDataModel


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/voicelab/src/Voicelab/help/_sources/conf.py:
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 1 | # -*- coding: utf-8 -*-
 2 | 
 3 | import sys, os
 4 | import sphinx_rtd_theme
 5 | 
 6 | extensions = [
 7 |     'sphinx_rtd_theme',
 8 | ]
 9 | 
10 | html_theme = "sphinx_rtd_theme"
11 | 
12 | todo_include_todos = True
13 | templates_path = ['_templates']
14 | source_suffix = '.rst'
15 | master_doc = 'index'
16 | exclude_patterns = []
17 | add_function_parentheses = True
18 | #add_module_names = True
19 | # A list of ignored prefixes for module index sorting.
20 | #modindex_common_prefix = []
21 | 
22 | project = u'VoiceLab'
23 | copyright = u'2022, David R Feinberg'
24 | 
25 | version = ''
26 | release = ''
27 | 
28 | # -- Options for HTML output ---------------------------------------------------
29 | 
30 | html_theme = "sphinx_rtd_theme"
31 | html_title = "VoiceLab: Automated Reproducible Acoustic Analysis"
32 | #html_short_title = None
33 | #html_logo = None
34 | #html_favicon = None
35 | html_static_path = ['_static']
36 | html_domain_indices = False
37 | html_use_index = False
38 | html_show_sphinx = False
39 | htmlhelp_basename = 'VoiceLab'
40 | html_show_sourcelink = False
41 | 


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/voicelab/src/Voicelab/help/builddir/.buildinfo:
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1 | # Sphinx build info version 1
2 | # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
3 | config: a284847c28810c0b613a2308ea5a266e
4 | tags: 645f666f9bcd5a90fca523b33c5a78b7
5 | 


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/voicelab/src/Voicelab/help/builddir/_sources/conf.rst.txt:
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1 | conf module
2 | ===========
3 | 
4 | .. automodule:: conf
5 |    :members:
6 |    :undoc-members:
7 |    :show-inheritance:
8 | 


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/voicelab/src/Voicelab/help/builddir/_sources/modules.rst.txt:
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1 | source
2 | ======
3 | 
4 | .. toctree::
5 |    :maxdepth: 4
6 | 
7 |    conf
8 | 


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1 | /**
2 | * @preserve HTML5 Shiv 3.7.3 | @afarkas @jdalton @jon_neal @rem | MIT/GPL2 Licensed
3 | */
4 | !function(a,b){function c(a,b){var c=a.createElement("p"),d=a.getElementsByTagName("head")[0]||a.documentElement;return c.innerHTML="x<style>"+b+"</style>",d.insertBefore(c.lastChild,d.firstChild)}function d(){var a=t.elements;return"string"==typeof a?a.split(" "):a}function e(a,b){var c=t.elements;"string"!=typeof c&&(c=c.join(" ")),"string"!=typeof a&&(a=a.join(" ")),t.elements=c+" "+a,j(b)}function f(a){var b=s[a[q]];return b||(b={},r++,a[q]=r,s[r]=b),b}function g(a,c,d){if(c||(c=b),l)return c.createElement(a);d||(d=f(c));var e;return e=d.cache[a]?d.cache[a].cloneNode():p.test(a)?(d.cache[a]=d.createElem(a)).cloneNode():d.createElem(a),!e.canHaveChildren||o.test(a)||e.tagUrn?e:d.frag.appendChild(e)}function h(a,c){if(a||(a=b),l)return a.createDocumentFragment();c=c||f(a);for(var e=c.frag.cloneNode(),g=0,h=d(),i=h.length;i>g;g++)e.createElement(h[g]);return e}function i(a,b){b.cache||(b.cache={},b.createElem=a.createElement,b.createFrag=a.createDocumentFragment,b.frag=b.createFrag()),a.createElement=function(c){return t.shivMethods?g(c,a,b):b.createElem(c)},a.createDocumentFragment=Function("h,f","return function(){var n=f.cloneNode(),c=n.createElement;h.shivMethods&&("+d().join().replace(/[\w\-:]+/g,function(a){return b.createElem(a),b.frag.createElement(a),'c("'+a+'")'})+");return n}")(t,b.frag)}function j(a){a||(a=b);var d=f(a);return!t.shivCSS||k||d.hasCSS||(d.hasCSS=!!c(a,"article,aside,dialog,figcaption,figure,footer,header,hgroup,main,nav,section{display:block}mark{background:#FF0;color:#000}template{display:none}")),l||i(a,d),a}var k,l,m="3.7.3-pre",n=a.html5||{},o=/^<|^(?:button|map|select|textarea|object|iframe|option|optgroup)$/i,p=/^(?:a|b|code|div|fieldset|h1|h2|h3|h4|h5|h6|i|label|li|ol|p|q|span|strong|style|table|tbody|td|th|tr|ul)$/i,q="_html5shiv",r=0,s={};!function(){try{var a=b.createElement("a");a.innerHTML="<xyz></xyz>",k="hidden"in a,l=1==a.childNodes.length||function(){b.createElement("a");var a=b.createDocumentFragment();return"undefined"==typeof a.cloneNode||"undefined"==typeof a.createDocumentFragment||"undefined"==typeof a.createElement}()}catch(c){k=!0,l=!0}}();var t={elements:n.elements||"abbr article aside audio bdi canvas data datalist details dialog figcaption figure footer header hgroup main mark meter nav output picture progress section summary template time video",version:m,shivCSS:n.shivCSS!==!1,supportsUnknownElements:l,shivMethods:n.shivMethods!==!1,type:"default",shivDocument:j,createElement:g,createDocumentFragment:h,addElements:e};a.html5=t,j(b),"object"==typeof module&&module.exports&&(module.exports=t)}("undefined"!=typeof window?window:this,document);


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/voicelab/src/Voicelab/pipeline/FileWidget.py:
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 1 | import sys
 2 | from PyQt5.QtWidgets import QApplication, QWidget, QInputDialog, QLineEdit, QFileDialog
 3 | from PyQt5.QtGui import QIcon
 4 | 
 5 | app = QApplication(sys.argv)
 6 | 
 7 | 
 8 | class FileWidget(QWidget):
 9 |     def __init__(self):
10 |         super().__init__()
11 |         self.title = "Select Some Files"
12 |         self.left = 10
13 |         self.top = 10
14 |         self.width = 640
15 |         self.height = 480
16 |         self.setWindowTitle(self.title)
17 |         self.setGeometry(self.left, self.top, self.width, self.height)
18 | 
19 |     def openFileNamesDialog(self):
20 |         options = QFileDialog.Options()
21 |         options |= QFileDialog.DontUseNativeDialog
22 |         files, _ = QFileDialog.getOpenFileNames(
23 |             self,
24 |             "QFileDialog.getOpenFileNames()",
25 |             "",
26 |             "All Files (*);;Python Files (*.py)",
27 |             options=options,
28 |         )
29 |         self.show()
30 |         return files
31 | 
32 |     def saveFileDialog(self):
33 |         options = QFileDialog.Options()
34 |         options |= QFileDialog.DontUseNativeDialog
35 |         fileName, _ = QFileDialog.getSaveFileName(
36 |             self,
37 |             "QFileDialog.getSaveFileName()",
38 |             "",
39 |             "All Files (*);;Text Files (*.txt)",
40 |             options=options,
41 |         )
42 |         self.show()
43 |         return fileName
44 | 


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/voicelab/src/Voicelab/pipeline/NodeFactory.py:
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 1 | import importlib
 2 | 
 3 | # Task Factories know about all types of tasks that can be created and creates the appropriate instance when called
 4 | # Abstracts the creation logic, and all of the library importing away from the user
 5 | 
 6 | ###################################################################################################
 7 | # NodeFactory: Abstracts the creation logic for new nodes
 8 | # Singleton Factory pattern, so no instantiation needed
 9 | ###################################################################################################
10 | class NodeFactory:
11 |     """Create new nodes based on a type id"""
12 | 
13 |     registered_nodes = {}
14 | 
15 |     ###############################################################################################
16 |     # Register Node (Class Method) : Registers a new node under a specified name/id
17 |     ###############################################################################################
18 |     @classmethod
19 |     def register_node(cls, type_id, type_class):
20 |         """register a new node into the factory
21 | 
22 |         Args:
23 |             type_id:
24 |             type_class:
25 |         """
26 |         cls.registered_nodes[type_id] = type_class
27 | 
28 |     ###############################################################################################
29 |     # Create Node (Class Method) : Returns a new instance of the specifed node
30 |     ###############################################################################################
31 |     @classmethod
32 |     def create_node(cls, node_id, type_id):
33 |         """create a new node based on type id
34 | 
35 |         Args:
36 |             node_id:
37 |             type_id:
38 |         """
39 |         node = cls.registered_nodes[type_id](node_id)
40 |         return node
41 | 
42 |     ###############################################################################################
43 |     # Import Node (Class Method) : Imports the python class associated with a node and register it
44 |     ###############################################################################################
45 |     @classmethod
46 |     def import_node(cls, type_id, toolkit_id, class_name):
47 |         """import the class for a new node and register it
48 | 
49 |         Args:
50 |             type_id:
51 |             toolkit_id:
52 |             class_name:
53 |         """
54 |         if type_id not in cls.registered_nodes:
55 |             module_name = "toolkits." + toolkit_id + "." + class_name
56 |             module = importlib.import_module(module_name)
57 |             cls.register_node(type_id, getattr(module, class_name))
58 | 
59 |         return cls.registered_nodes[type_id]
60 | 


--------------------------------------------------------------------------------
/voicelab/src/Voicelab/pipeline/NodzInterface.py:
--------------------------------------------------------------------------------
 1 | import json
 2 | from Voicelab.pipeline.NodeFactory import NodeFactory
 3 | 
 4 | NODZ_SAVE_LOCATION = "./pipeline/saves/sample.json"
 5 | 
 6 | ##################################################################################################
 7 | # NodzInterface: Compartmentalizes the importing of a save file from the nodz library. Singleton
 8 | ##################################################################################################
 9 | class NodzInterface:
10 | 
11 |     ###############################################################################################
12 |     # Load (static): loads a well formatted json save from nodz and returns an array of nodes and
13 |     # the connections
14 |     ###############################################################################################
15 |     @staticmethod
16 |     def load(file_location):
17 | 
18 |         """
19 |         Args:
20 |             file_location:
21 |         """
22 |         nodes_mapping = {}
23 |         nodes = []
24 |         connections = []
25 |         global_vars = {}
26 | 
27 |         with open(file_location, "r") as f:
28 |             data = json.load(f)
29 | 
30 |             if "NODES" in data:
31 |                 for node_id in data["NODES"]:
32 |                     node = data["NODES"][node_id]
33 |                     class_name = node["file"].split(".")[
34 |                         0
35 |                     ]  # extract the name of the class stored here as XXXX.py
36 |                     NodeFactory.import_node(
37 |                         node["type"], node["toolkit"], class_name
38 |                     )  # uses the Nodefactory to do the import logic, this also registers it with the factory for creating new versions
39 |                     node_instance = NodeFactory.create_node(
40 |                         node_id, node["type"]
41 |                     )  # Create a new instance of this node
42 |                     node_instance.args = {
43 |                         **node["variables"]
44 |                     }  # Copies the variables into the node as default arguments/configurations
45 |                     nodes.append(
46 |                         [node_id, node_instance]
47 |                     )  # Compact the id and instance for access later
48 |                     nodes_mapping[
49 |                         node_id
50 |                     ] = (
51 |                         node_instance
52 |                     )  # we use a mapping of id to instance for use parsing connections later
53 | 
54 |             if "CONNECTIONS" in data:
55 |                 for connection in data["CONNECTIONS"]:
56 |                     parent_id, parent_terminal = connection[0].split(
57 |                         "."
58 |                     )  # Stored in json as id.terminal
59 |                     child_id, child_terminal = connection[1].split(".")
60 |                     parent = nodes_mapping[parent_id]
61 |                     child = nodes_mapping[child_id]
62 |                     connections.append(
63 |                         [(parent, parent_terminal), (child, child_terminal)]
64 |                     )  # stores the nodes and terminals all together
65 | 
66 |             # TODO: parse the global variables contained in nodz
67 |             if "GLOBALS" in data:
68 |                 for global_var in data["GLOBALS"]:
69 |                     print(global_var)
70 | 
71 |             return nodes, connections, global_vars
72 | 


--------------------------------------------------------------------------------
/voicelab/src/Voicelab/pipeline/QWidgetValueAccesser.py:
--------------------------------------------------------------------------------
 1 | from PyQt5.QtWidgets import *
 2 | 
 3 | 
 4 | class QWidgetValueAccesser:
 5 |     def get_value(self, widget):
 6 |         """
 7 |         Args:
 8 |             widget:
 9 |         """
10 |         if isinstance(widget, QComboBox):
11 |             return widget.currentText()
12 |         elif isinstance(widget, QLineEdit):
13 |             return widget.text()
14 |         elif isinstance(widget, QCheckBox):
15 |             return widget.isChecked()
16 | 
17 |     def set_value(self, widget, value):
18 |         """
19 |         Args:
20 |             widget:
21 |             value:
22 |         """
23 |         if isinstance(widget, QComboBox):
24 |             widget.setCurrentText(value)
25 |         elif isinstance(widget, QLineEdit):
26 |             widget.setText(value)
27 |         elif isinstance(widget, QCheckBox):
28 |             widget.setChecked(value)
29 | 


--------------------------------------------------------------------------------
/voicelab/src/Voicelab/pipeline/__init__.py:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/Voice-Lab/VoiceLab/7d34cac2e21803b543355bbd03d346f3ea82c5d4/voicelab/src/Voicelab/pipeline/__init__.py


--------------------------------------------------------------------------------
/voicelab/src/Voicelab/toolkits/Voicelab/.directory:
--------------------------------------------------------------------------------
1 | [Dolphin]
2 | SortRole=type
3 | Timestamp=2020,12,16,15,19,46
4 | Version=4
5 | ViewMode=1
6 | VisibleRoles=Details_text,Details_size,Details_modificationtime,Details_type,CustomizedDetails
7 | 


--------------------------------------------------------------------------------
/voicelab/src/Voicelab/toolkits/Voicelab/IPA_Praat_symbols.csv:
--------------------------------------------------------------------------------
  1 | IPA,Praat
  2 | χ,\cf
  3 | θ,\tf
  4 | β,\bf
  5 | ʘ,\O.
  6 | ǃ,!
  7 | ǂ,\|-
  8 | ǁ,\|2
  9 | ǀ,\|1
 10 | ʢ,\9-
 11 | ʡ,\?-
 12 | ˤ,\^9
 13 | ʕ,\9e
 14 | ʔ,\?g
 15 | ʒ,\zh
 16 | ʑ,\zc
 17 | ʐ,\z.
 18 | z,z
 19 | ʏ,\yc
 20 | y,y
 21 | x,x
 22 | ʍ,\wt
 23 | ʷ,\^w
 24 | w,w
 25 | ʌ,\vt
 26 | ⱱ,
 27 | ʋ,\vs
 28 | v,v
 29 | ʊ,\hs
 30 | ɰ,\ml
 31 | ɯ,\mt
 32 | ɥ,\ht
 33 | ʉ,\u-
 34 | u,u
 35 | ʈ,\t.
 36 | t,t
 37 | ʃ,\sh
 38 | ʂ,\s.
 39 | s,s
 40 | ʁ,\ri
 41 | ɾ,\fh
 42 | ɽ,\f.
 43 | ɻ,\r.
 44 | ɺ,\rl
 45 | ɹ,\rt
 46 | ʀ,\rc
 47 | r,r
 48 | q,q
 49 | ɸ,\ff
 50 | p,p
 51 | ɵ,\o-
 52 | ɔ,\ct
 53 | ɶ,\Oe
 54 | œ,\oe
 55 | ø,\o/
 56 | o,o
 57 | ŋ,\ng
 58 | ɳ,\n.
 59 | ɲ,\nj
 60 | ɴ,\nc
 61 | ⁿ,\^n
 62 | n,n
 63 | ɱ,\mj
 64 | m,m
 65 | ʎ,\yt
 66 | ɮ,\lz
 67 | ɭ,\l.
 68 | ɬ,\l-
 69 | ɫ,\l~
 70 | ʟ,\lc
 71 | ˡ,\^l
 72 | l,l
 73 | k,k
 74 | ʄ,\j^
 75 | ɟ,\j-
 76 | ʝ,\jc
 77 | ʲ,\^j
 78 | j,j
 79 | ɨ,\i-
 80 | ɪ,\ic
 81 | i,i
 82 | ɧ,\hj
 83 | ɦ,\h^
 84 | ʜ,\hc
 85 | ħ,\h-
 86 | ʰ,\^h
 87 | h,h
 88 | ˠ,\^G
 89 | ɣ,\gf
 90 | ʛ,\G^
 91 | ɠ,\g^
 92 | ɢ,\gc
 93 | ɡ,\gs
 94 | f,f
 95 | ɤ,\rh
 96 | ɞ,\kb
 97 | ɜ,\er
 98 | ɚ,\sr
 99 | ɘ,\e-
100 | ɛ,\ef
101 | ə,\sw
102 | e,e
103 | ɗ,\d^
104 | ɖ,\d.
105 | ð,\dh
106 | d,d
107 | ɕ,\cc
108 | ç,"\c,"
109 | c,c
110 | ɓ,\b^
111 | ʙ,\bc
112 | b,b
113 | ɒ,\ab
114 | ɑ,\as
115 | ɐ,\at
116 | æ,\ae
117 | a,a
118 | ˑ,\.f
119 | ː,\:f
120 | ◌ʼ,\ap
121 | ◌͡◌,\lip
122 | ◌͜◌,
123 | ◌˞,\hr
124 | ◌̹,\3v
125 | ◌̴,
126 | ◌̰,\~v
127 | ◌̥,\0v
128 | ◌̤,\:v
129 | ◌̏,
130 | ◌̬,
131 | ◌̼,
132 | ◌̪,\Nv
133 | ◌̺,\Uv
134 | ◌̻,\Dv
135 | ◌̜,\cv
136 | ◌̟,\+v
137 | ◌̠,\-v
138 | ◌̘,\T(
139 | ◌̙,\T)
140 | ◌̝,\T^
141 | ◌̞,\Tv
142 | ◌̩,\|v
143 | ◌̯,\nv
144 | ◌̽,
145 | ◌̚,\cn
146 | ◌᷄,
147 | ◌᷅,
148 | ◌᷈,
149 | ◌̄,\-^
150 | ◌̃,\~^
151 | ◌̋,
152 | ◌̈,\:^
153 | ◌̊,\0^
154 | ◌̌,\v^
155 | ◌̂,\^^
156 | ◌̆,\N^
157 | ◌̀,\`^
158 | ◌́,\'^
159 | |,|
160 | ↘,
161 | ↗,
162 | ꜜ,
163 | ꜛ,
164 | ˩,
165 | ˨,
166 | ˧,
167 | ˦,
168 | ˥,
169 | ˌ,\'2
170 | ˈ,\'1
171 | ‿,\_ub
172 | ‖,||
173 | .,.
174 | 


--------------------------------------------------------------------------------
/voicelab/src/Voicelab/toolkits/Voicelab/LoadVoicesNode.py:
--------------------------------------------------------------------------------
 1 | import parselmouth
 2 | from ...pipeline.Node import Node
 3 | from parselmouth.praat import call
 4 | from ...pipeline.FileWidget import FileWidget
 5 | 
 6 | 
 7 | """
 8 | LOAD VOICES NODE
 9 | WARIO pipeline node for loading voice files.
10 | ###################################################################################################
11 | ARGUMENTS
12 | 'file_locations'   : list of filesystem locations for where to find the voice files
13 | ###################################################################################################
14 | RETURNS
15 | 'voice' [batch]   : return a parselmouth voice object for each file loaded
16 | ###################################################################################################
17 | """
18 | 
19 | 
20 | class LoadVoicesNode(Node):
21 |     def __init__(self, name):
22 |         """
23 |         Args:
24 |             name:
25 |         """
26 |         super().__init__(name)
27 |         self.done = False
28 | 
29 | 
30 |     def process(self):
31 |         """
32 |         process: Retrieve the next file location and return it
33 |         """
34 |         #item, file_path = self.get_next(self.state["voices"])
35 |         #return {"voice": item, "file_path": file_path}
36 |         (signal, sampling_rate), file_path = self.get_next(self.state["voices"])
37 |         return {"voice": (signal, sampling_rate), "file_path": file_path}
38 | 
39 | 
40 |     def start(self):
41 |         """
42 |         start: WARIO hook, run before any data is processed to load the data in
43 |         """
44 |         self.state["voices"] = []
45 | 
46 |         # If a collection of file locations are present use those, otherwise prompt for them
47 |         if len(self.args["file_locations"]) == 0:
48 |             ex = FileWidget()
49 |             self.state["files"] = ex.openFileNamesDialog()
50 |         else:
51 |             self.state["files"] = self.args["file_locations"]
52 | 
53 |         for file_path in self.state["files"]:
54 |             #  This is where we load files
55 |             #  Select Load None if we want to load nothing
56 |             #  Append the parselmouth.Sound object if you don't need multiprocessing
57 |             #  We are going to try passing the data and sampling rate through nodes instead of sound objects.
58 |             sound = parselmouth.Sound(file_path)
59 |             signal = sound.values
60 |             sampling_rate = sound.sampling_frequency
61 |             voice = (signal, sampling_rate)
62 |             self.state["voices"].append((voice, file_path))
63 |             #self.state["voices"].append((None, file_path))
64 | 
65 |         # return how many files have been loaded
66 |         return len(self.state["voices"])
67 | 
68 |     """
69 |     get_next: Retrieve the next file location by simply popping off the stack
70 |     """
71 |     def get_next(self, collection):
72 |         """
73 |         Args:
74 |             collection:
75 |         """
76 |         item = collection.pop()
77 |         if len(collection) <= 0:
78 |             self.done = True
79 |         return item
80 | 


--------------------------------------------------------------------------------
/voicelab/src/Voicelab/toolkits/Voicelab/ManipulateRaisePitchAndFormantsNode.py:
--------------------------------------------------------------------------------
 1 | from __future__ import annotations
 2 | 
 3 | import parselmouth
 4 | from parselmouth.praat import call
 5 | from typing import Union
 6 | from ...pipeline.Node import Node
 7 | from .VoicelabNode import VoicelabNode
 8 | 
 9 | 
10 | 
11 | class ManipulateRaisePitchAndFormantsNode(VoicelabNode):
12 |     """Manipulate raise pitch and formants
13 | 
14 |     Arguments
15 |     ----------
16 |     self.args : dict
17 |         Arguments for the node
18 |         self.args['formant_factor'] : float, default=1.15
19 |             Factor to multiply formants by. Use a number >1. For lower values, use ManipulateLowerPitchAndFormantsNode
20 |         self.args['pitch_factor'] : float
21 |             Factor to multiply pitch by
22 |         self.args['normalize amplitude'] : bool, default=True
23 |             Normalize amplitude to 70 dB RMS
24 |     """
25 |     def __init__(self, *args, **kwargs):
26 |         super().__init__(*args, **kwargs)
27 | 
28 |         self.args = {
29 |                      "formant_factor": 1.15,
30 |                      "pitch_factor":   1.15,
31 |                      "normalize amplitude": True,
32 |                      }
33 | 
34 |         # These are default settings for praat that we are hiding from the GUI and API
35 |         self.pitch_range_factor = 1
36 |         self.duration_factor = 1
37 | 
38 |     def process(self) -> dict[Union[str, parselmouth.Sound]]:
39 |         """Raise pitch and formants
40 | 
41 |         :return: Dictionary of manipulated sound
42 |         :rtype:  dict of [str, parselmouth.Sound]
43 |         """
44 | 
45 |         file_path = self.args["file_path"]
46 |         signal, sampling_rate = self.args['voice']
47 |         sound: parselmouth.Sound = parselmouth.Sound(signal, sampling_rate)
48 |         formant_factor = self.args["formant_factor"]
49 |         pitch_factor = self.args["pitch_factor"]
50 |         pitch_range_factor = self.pitch_range_factor
51 |         duration_factor = self.duration_factor
52 |         f0min, f0max = self.pitch_bounds(file_path)
53 |         self.args['f0min'], self.args['f0max'] = f0min, f0max
54 |         pitch = sound.to_pitch()
55 |         print(f0min, f0max)
56 |         median_pitch = call(pitch, "Get quantile", sound.xmin, sound.xmax, 0.5, "Hertz")
57 | 
58 |         new_pitch_median = pitch_factor * median_pitch
59 | 
60 |         output_file_name = file_path.split("/")[-1].split(".wav")[0]
61 |         output_file_name = (
62 |             f"{output_file_name}_raise_pitch_and_formants_{pitch_factor}_{formant_factor}"
63 |         )
64 |         number_of_channels = call(sound, 'Get number of channels')
65 |         if number_of_channels == 2:
66 |             sound = call(sound, 'Convert to mono')
67 | 
68 |         manipulated_sound = call(
69 |             sound,
70 |             "Change gender",
71 |             f0min,
72 |             f0max,
73 |             formant_factor,
74 |             new_pitch_median,
75 |             pitch_range_factor,
76 |             duration_factor,
77 |         )
78 | 
79 |         if self.args["normalize amplitude"]:
80 |             manipulated_sound.scale_intensity(70)
81 | 
82 |         manipulated_sound.name = output_file_name
83 | 
84 |         return {"voice": manipulated_sound}
85 | 


--------------------------------------------------------------------------------
/voicelab/src/Voicelab/toolkits/Voicelab/MeasureDurationNode.py:
--------------------------------------------------------------------------------
 1 | from __future__ import annotations
 2 | import parselmouth
 3 | from parselmouth.praat import call
 4 | from typing import Union
 5 | from ...pipeline.Node import Node
 6 | from .VoicelabNode import VoicelabNode
 7 | 
 8 | 
 9 | class MeasureDurationNode(VoicelabNode):
10 |     """Measure the duration of the sound file."""
11 |     def process(self) -> dict[str | Union[float, str]]:
12 |         try:
13 |             """Returns the total duration of a sound file."""
14 |             file_path: str = self.args["file_path"]
15 |             signal, sampling_rate = self.args['voice']
16 |             sound: parselmouth.Sound = parselmouth.Sound(signal, sampling_rate)
17 |             return {"Voice Duration": sound.duration}
18 |         except Exception as e:
19 |             return {"Voice Duration": str(e)}
20 | 


--------------------------------------------------------------------------------
/voicelab/src/Voicelab/toolkits/Voicelab/MeasureHarmonicityNode.py:
--------------------------------------------------------------------------------
 1 | from __future__ import annotations
 2 | 
 3 | from typing import Union
 4 | from ...pipeline.Node import Node
 5 | import parselmouth
 6 | from parselmouth.praat import call
 7 | from .VoicelabNode import VoicelabNode
 8 | 
 9 | 
10 | class MeasureHarmonicityNode(VoicelabNode):
11 |     """Measure the harmonics-to-noise ratio of a sound. This is effetively the Signal-to-Noise Ratio (SNR) of a periodic sound.
12 | 
13 |     Arguments:
14 |     ---------
15 |         self.args: dict
16 |             Dictionary of arguments for the node.
17 |             self.args['Algorithm'] : str, default=To Harmonicity (cc)'
18 |                 Which pitch algorithm to use. Default is Cross Correlation, alternate is Auto Correlation.
19 |             self.args['Timestep'] : float, default 0.01
20 |                 The timestep (hop length/time between windows) to use for the analysis.
21 |             self.args["Silence Threshold"]: float, default=0.1,
22 |                 The threshold below which a frame is considered silent.
23 |             self.args["Periods per Window"]: float, default=4.5,
24 |                 The number of periods per window.
25 |     """
26 |     def __init__(self, *args, **kwargs):
27 | 
28 |         """
29 |         Args:
30 |             *args:
31 |             **kwargs:
32 |         """
33 |         super().__init__(*args, **kwargs)
34 | 
35 |         self.args = {
36 |             "Algorithm": (
37 |                 "To Harmonicity (cc)",
38 |                 ["To Harmonicity (cc)", "To Harmonicity (ac)"],
39 |             ),
40 |             "Timestep": 0.01,
41 |             "Silence Threshold": 0.1,
42 |             "Periods per Window": 4.5,  # This is a new change from 1.0
43 |         }
44 | 
45 |     def process(self):
46 |         """This function measures Harmonics to Noise Ratio
47 | 
48 |         :return: A dictionary of the results or an error message.
49 |         :rtype: dict[str, Union[str, float]]
50 |         """
51 | 
52 |         try:
53 |             file_path: str = self.args["file_path"]
54 |             sound: parselmouth.Sound = parselmouth.Sound(file_path)
55 |             algorithm: str = self.args["Algorithm"][0]
56 |             timestep: float = self.args["Timestep"]
57 |             silence_threshold: float = self.args["Silence Threshold"]
58 |             periods_per_window: float = self.args["Periods per Window"]
59 |             pitch_floor: float = self.pitch_floor(sound)
60 |             harmonicity: float = call(sound, algorithm, timestep, pitch_floor, silence_threshold, periods_per_window,)
61 |             hnr: float = call(harmonicity, "Get mean", 0, 0)
62 |             return {"Harmonics to Noise Ratio": hnr}
63 |         except Exception as e:
64 |             return {"Harmonics to Noise Ratio": str(e)}
65 | 


--------------------------------------------------------------------------------
/voicelab/src/Voicelab/toolkits/Voicelab/MeasureIntensityNode.py:
--------------------------------------------------------------------------------
 1 | from __future__ import annotations
 2 | from typing import Union
 3 | 
 4 | import parselmouth
 5 | 
 6 | from ...pipeline.Node import Node
 7 | from parselmouth.praat import call
 8 | from .VoicelabNode import VoicelabNode
 9 | 
10 | 
11 | class MeasureIntensityNode(VoicelabNode):
12 |     """Measure Intensity (dB) of sound
13 |     Arguments:
14 |         self.args: dict of arguments
15 |             These are the Intensity options from Praat:
16 |             minimum_pitch Union[float, int], default 100.0
17 |                 The minimum pitch for the analysis. This sets the analysis window to 0.8 / minimum pitch
18 |             time step: float, default 0.0 (Automatic)
19 |                 The time step (hop length) for the analysis
20 |             Subtract Mean: bool, default True
21 |                 Subtract the mean intensity from the intensity
22 |     """
23 |     def __init__(self, *args, **kwargs):
24 |         """
25 |         Args:
26 |             *args:
27 |             **kwargs:
28 |         """
29 |         super().__init__(*args, **kwargs)
30 | 
31 |         self.args = {
32 |             "minimum_pitch": 100.0,
33 |             "time step": 0.0,
34 |             "Subtract Mean": True
35 |         }
36 | 
37 |     def process(self):
38 |         """Run the intensity analysis
39 | 
40 |         :argument self.args['file_path']: the path to the file to be analysed
41 |         :type self.args['file_path']: str
42 | 
43 |         :return: dict of results
44 |         :rtype: dict[str, Union[int, float, str, list]]
45 |         """
46 |         file_path = self.args['file_path']
47 |         voice = parselmouth.Sound(file_path)
48 |         try:
49 |             minimum_pitch = self.args["minimum_pitch"]
50 |             intensity = voice.to_intensity(minimum_pitch)
51 |             mean_intensity = intensity.get_average()
52 |             return {
53 |                 "Intensity": intensity,
54 |                 "Mean Intensity (dB)": mean_intensity
55 |             }
56 |         except Exception as e:
57 |             return {
58 |                 "Intensity": str(e),
59 |                 "Mean Intensity (dB)": str(e)
60 |             }
61 | 


--------------------------------------------------------------------------------
/voicelab/src/Voicelab/toolkits/Voicelab/MeasureMFCCNode.py:
--------------------------------------------------------------------------------
 1 | from __future__ import annotations
 2 | import parselmouth
 3 | from typing import Union
 4 | 
 5 | from ...pipeline.Node import Node
 6 | from parselmouth.praat import call
 7 | from .VoicelabNode import VoicelabNode
 8 | 
 9 | 
10 | class MeasureMFCCNode(VoicelabNode):
11 |     """Measure 24 MFCCs of a sound
12 | 
13 |     :argument self.args['file_path']: the path to the file to be analysed
14 |     :type self.args['file_path']: str
15 | 
16 |     :return: dict of results
17 |     :rtype: dict[str, Union[int, float, str, list]]
18 |     """
19 |     def __init__(self, *args, **kwargs):
20 |         super().__init__(*args, **kwargs)
21 | 
22 |         # initialize with default arguments
23 |         self.args = {
24 |         }
25 | 
26 |         # process: WARIO hook called once for each voice file.
27 |     def process(self):
28 |         """Run the MFCC analysis
29 | 
30 |         :argument self.args['file_path']: the path to the file to be analysed
31 |         :type self.args['file_path']: str
32 | 
33 |         :return: dict of results
34 |         :rtype: dict[str, Union[int, float, str, list]]
35 |         """
36 |         file_path = self.args['file_path']
37 |         sound = parselmouth.Sound(file_path)
38 |         try:
39 |             mfcc = sound.to_mfcc(number_of_coefficients=24)
40 |             return {
41 |                 "mfcc": mfcc.extract_features().values.tolist()
42 |             }
43 |         except Exception as e:
44 |             return {
45 |                 "mfcc": str(e)
46 |             }
47 | 
48 | 


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/voicelab/src/Voicelab/toolkits/Voicelab/MeasurePitchNodeTest.py:
--------------------------------------------------------------------------------
 1 | from ...pipeline.Node import Node
 2 | from parselmouth.praat import call
 3 | import parselmouth
 4 | import numpy as np
 5 | from .VoicelabNode import VoicelabNode
 6 | 
 7 | from Voicelab.toolkits.Voicelab.MeasurePitchNode import MeasurePitchNode
 8 | from pprint import pprint
 9 | 
10 | def run_node(filename):
11 |     node = MeasurePitchNode()
12 |     node.args['file_path'] = filename
13 |     node.args['voice'] = parselmouth.Sound(node.args['file_path'])
14 |     results = node.process()
15 |     return node, results
16 | 
17 | 
18 | def test_results(results):
19 |     # Check if pitch object is a valid pitch object
20 |     assert isinstance(results['Pitch'], parselmouth.Pitch)
21 | 
22 |     # Check that we get expected results for the sound file
23 |     assert results['Pitch Ceiling'] == 300
24 |     assert results['Pitch Floor'] == 50
25 |     assert results['Pitch Max (F0)'] == 110.62170729714686
26 |     assert results['Pitch Min (F0)'] == 63.73360992459041
27 |     assert results['Standard Deviation Pitch (F0)'] == 11.64020748154102
28 | 
29 |     # Check that the pitch values are a list of floats
30 |     assert isinstance(results['Pitches'], list)
31 |     assert all(isinstance(pitch, float) for pitch in results['Pitches'])
32 | 
33 | 
34 | filename = '/home/david/Desktop/Sderfahrer_mHK66.wav'
35 | node, results = run_node(filename)
36 | test_results(results)


--------------------------------------------------------------------------------
/voicelab/src/Voicelab/toolkits/Voicelab/MeasurePitchRaptNode.py:
--------------------------------------------------------------------------------
 1 | from ...pipeline.Node import Node
 2 | from .VoicelabNode import VoicelabNode
 3 | 
 4 | from parselmouth.praat import call
 5 | import parselmouth
 6 | 
 7 | import numpy as np
 8 | import pysptk
 9 | from scipy.io.wavfile import read as wavread
10 | 
11 | 
12 | class MeasurePitchRaptNode(VoicelabNode):
13 | 
14 |     def __init__(self, *args, **kwargs):
15 |         """
16 |         Args:
17 |             *args:
18 |             **kwargs:
19 |         """
20 |         super().__init__(*args, **kwargs)
21 | 
22 |         # initialize with default arguments
23 | 
24 |         self.args = {
25 |             "hopsize": 0.01,  # sampling rate times this number
26 |             "min": 40,  # minimum frequency
27 |             "max": 500,  # maximum frequency
28 |             "Voiced/unvoiced threshold": 0.0,  # voice_bias
29 |         }
30 | 
31 |     def process(self):
32 |         try:
33 |             audioFilePath = self.args["file_path"]
34 |             fs, x = wavread(audioFilePath)
35 |             x = x.astype(np.float32)
36 |             hopsize = int(fs * self.args['hopsize'])
37 |             min = self.args['min']
38 |             max = self.args['max']
39 |             voice_bias = self.args["Voiced/unvoiced threshold"]
40 |             f0 = pysptk.sptk.rapt(x, fs, hopsize, min, max, voice_bias, otype='f0')
41 |             f0_nozero = f0[f0 > 0]
42 |             mean_f0 = np.nanmean(f0_nozero).item()
43 |             min_f0 = np.nanmin(f0_nozero).item()
44 |             max_f0 = np.nanmax(f0_nozero).item()
45 |             return {
46 |                 'Mean Pitch RAPT': mean_f0,
47 |                 'Min Pitch RAPT': min_f0,
48 |                 'Max Pitch RAPT': max_f0,
49 |                 'Pitch Values RAPT': f0.tolist(),
50 |             }
51 | 
52 |         except:
53 |             return {
54 |                 'Mean Pitch RAPT': "Measure Pitch RAPT Failed",
55 |                 'Min Pitch RAPT': "Measure Pitch RAPT Failed",
56 |                 'Max Pitch RAPT': "Measure Pitch RAPT Failed",
57 |                 'Pitch Values RAPT': "Measure Pitch RAPT Failed",
58 |             }
59 | 


--------------------------------------------------------------------------------
/voicelab/src/Voicelab/toolkits/Voicelab/MeasurePitchYinNode.py:
--------------------------------------------------------------------------------
 1 | from ...pipeline.Node import Node
 2 | from .VoicelabNode import VoicelabNode
 3 | from parselmouth.praat import call
 4 | import parselmouth
 5 | import inspect
 6 | import numpy as np
 7 | # from scipy.io.wavfile import read as wavread
 8 | # from scipy.signal import resample
 9 | # import statistics
10 | import librosa
11 | 
12 | 
13 | class MeasurePitchYinNode(VoicelabNode):
14 | 
15 |     def __init__(self, *args, **kwargs):
16 |         """
17 |         Args:
18 |             *args:
19 |             **kwargs:
20 |         """
21 |         super().__init__(*args, **kwargs)
22 | 
23 | 
24 |         # initialize with default arguments
25 |         self.args = {
26 |             'min f0': 40,
27 |             'max f0': 600,
28 |         }
29 | 
30 |     def process(self, audioFilePath=None, *args, **kwargs):
31 |         try:
32 |             if audioFilePath[-3:].lower() != "wav":
33 |                 tmp_praat_object = parselmouth.Sound(audioFilePath)
34 |                 tmp_praat_object.save("tmp.wav", "WAV")
35 |                 audioFilePath = 'tmp.wav'
36 |             y, sr = librosa.load(audioFilePath)
37 |             fmin = self.args["min f0"]
38 |             fmax = self.args["max f0"]
39 |             pitches_full = librosa.yin(y, fmin=fmin, fmax=fmax, sr=sr) # This changed to keyword arguments to future proof incoming Librosa changes
40 |             pitches = pitches_full[pitches_full != 0]
41 |             yin_min_pitch = np.nanmin(pitches).item()
42 |             yin_max_pitch = np.nanmax(pitches).item()
43 |             yin_mean_pitch = np.nanmean(pitches).item()
44 |             yin_median_pitch = np.nanmedian(pitches).item()
45 |             yin_standard_deviation_pitch = np.nanstd(pitches).item()
46 |             return {
47 |                 'Min Pitch (Yin)': yin_min_pitch,
48 |                 'Max Pitch (Yin)': yin_max_pitch,
49 |                 'Mean Pitch (Yin)': yin_mean_pitch,
50 |                 'Median Pitch (Yin)': yin_median_pitch,
51 |                 'Standard Deviation Pitch (Yin)': yin_standard_deviation_pitch,
52 |                 'Pitch Values (Yin)': pitches_full.tolist()
53 |             }
54 | 
55 |         except Exception as e:
56 |             return {
57 |                 'Min Pitch (Yin)': str(e),
58 |                 'Max Pitch (Yin)': str(e),
59 |                 'Mean Pitch (Yin)': str(e),
60 |                 'Median Pitch (Yin)': str(e),
61 |                 'Pitch Values (Yin)': str(e),
62 |             }
63 | 


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/voicelab/src/Voicelab/toolkits/Voicelab/ResampleSoundsNode.py:
--------------------------------------------------------------------------------
 1 | from __future__ import annotations
 2 | 
 3 | import parselmouth
 4 | from parselmouth.praat import call
 5 | 
 6 | from typing import Union
 7 | 
 8 | from ...pipeline.Node import Node
 9 | from .VoicelabNode import VoicelabNode
10 | 
11 | 
12 | 
13 | class ResampleSoundsNode(VoicelabNode):
14 |     """
15 |     Attributes
16 |     ----------
17 |     self.args: dict
18 |         Dictionary of parameters to pass into the node.
19 | 
20 |     self.args['Sampling Rate']: Union[float, int], default = 44100.0
21 |         The target sampling rate.
22 |     self.args['Precision']: Union[float, int], default=50
23 |         - If Precision is 1, the method is linear interpolation, which is inaccurate but fast.
24 |         - If Precision is greater than 1, the method is sin(x)/x ("sinc") interpolation, with a depth equal to Precision. For higher Precision, the algorithm is slower but more accurate.
25 |         - If Sampling frequency is less than the sampling frequency of the selected sound, an anti-aliasing low-pass filtering is performed prior to resampling.
26 |         - `<https://www.fon.hum.uva.nl/praat/manual/Sound__Resample___.html>`_
27 | 
28 |     """
29 |     def __init__(self, *args, **kwargs):
30 |         super().__init__(*args, **kwargs)
31 | 
32 |         self.args = {"Sampling Rate": 44100.0,  # Positive number
33 |                      "Precision": 50    # Positive integer
34 |                      }
35 |         # process: WARIO hook called once for each voice file.
36 | 
37 |     def process(self):
38 |         """Resample sounds. This returns a parselmouth.Sound object which is saved later by the Voicelab interface.
39 | 
40 |         :return : dictionary with note of success and the resampled parselmouth.Sound object
41 |         :rtype: dict{
42 |             str|str,
43 |             str|Union[parselmouth.Sound, str]
44 |             }
45 | 
46 |         """
47 |         try:
48 |             # Load arguments
49 |             file_path = self.args['file_path']
50 |             signal, sampling_rate = self.args['voice']
51 |             sound: parselmouth.Sound = parselmouth.Sound(signal, sampling_rate)
52 |             sampling_rate = self.args["Sampling Rate"]
53 |             precision = self.args["Precision"]
54 |             file_path = self.args["file_path"]
55 | 
56 |             # resample sound
57 |             sound = sound.resample(sampling_rate, precision)
58 | 
59 |             # set up file name
60 |             output_file_name: str = file_path.split("/")[-1].split(".wav")[0]
61 |             output_file_name = f"{output_file_name}_resampled_to_{sampling_rate}_Hz"
62 |             sound.name = output_file_name
63 |             success = "Sound resampled successfully"
64 | 
65 |         except Exception as e:
66 |             sound = str(e)
67 |             success = "Sound not resampled"
68 | 
69 |         return {
70 |             "result": success,
71 |             "voice": sound
72 |         }
73 | 


--------------------------------------------------------------------------------
/voicelab/src/Voicelab/toolkits/Voicelab/ReverseSoundsNode.py:
--------------------------------------------------------------------------------
 1 | from ...pipeline.Node import Node
 2 | from parselmouth.praat import call
 3 | from .VoicelabNode import VoicelabNode
 4 | 
 5 | import parselmouth
 6 | from typing import Union
 7 | 
 8 | 
 9 | class ReverseSoundsNode(VoicelabNode):
10 |     """A Class to reverse voice file temporally."""
11 | 
12 |     def __init__(self, *args, **kwargs):
13 |         super().__init__(*args, **kwargs)
14 | 
15 |         self.args = {}
16 | 
17 |     def process(self) -> dict[str, Union[parselmouth.Sound, str]]:
18 |         """Run the node\nReverse the time of the voice file.
19 |         :return: The reversed sound file or an error message
20 |         :rtype: dict of {str, [parselmouth.Sound, str]}
21 |         """
22 | 
23 |         try:
24 |             file_path = self.args['file_path']
25 |             """The path to the file to be reversed"""
26 |             signal, sampling_rate = self.args['voice']
27 |             sound: parselmouth.Sound = parselmouth.Sound(signal, sampling_rate)
28 | 
29 |             """The parselmouth sound object to be reversed"""
30 |             sound.reverse()
31 |             output_file_name: str = file_path.split("/")[-1].split(".wav")[0]
32 |             """The output file name"""
33 |             output_file_name:str = f"{output_file_name}_reversed"
34 |             sound.name = output_file_name
35 |         except Exception as e:
36 |             sound = str(e)
37 |         return {"voice": sound}
38 | 


--------------------------------------------------------------------------------
/voicelab/src/Voicelab/toolkits/Voicelab/ScaleIntensityNode.py:
--------------------------------------------------------------------------------
 1 | from __future__ import annotations
 2 | 
 3 | import parselmouth
 4 | from parselmouth.praat import call
 5 | 
 6 | from typing import Union
 7 | 
 8 | from ...pipeline.Node import Node
 9 | from .VoicelabNode import VoicelabNode
10 | 
11 | 
12 | 
13 | class ScaleIntensityNode(VoicelabNode):
14 |     """Scale intensity.
15 | 
16 |     Options include RMS or peak method, and a value to scale to
17 | 
18 |     self.args: dict
19 |         dictionary of values to be passed into the node
20 | 
21 |         self.args['value']: Union[float, int], default=70.0
22 |             The value to scale intensity to.  For RMS, this is a positive number between 1 and 90.9691. For Peak (-1, 1), pick a number between -1 and 1.
23 |         self.args['method']: str, default='RMS (dB)'
24 |             Choose between RMS and peak.
25 |     """
26 |     def __init__(self, *args, **kwargs):
27 |         super().__init__(*args, **kwargs)
28 | 
29 |         self.args = {
30 |             "value": 70.0, # positive float
31 |             "method": ("RMS (dB)", ["RMS (dB)", "Peak (-1, 1)"])
32 |         }
33 |         # process: WARIO hook called once for each voice file.
34 | 
35 |     def process(self):
36 |         """Process the Scale Intensity Node
37 | 
38 |         :return {"voice": sound} : Dictionary with the manipulated praat sound object
39 |         :rtype parselmouth.Sound:
40 |         """
41 |         value = self.args["value"]
42 |         signal, sampling_rate = self.args['voice']
43 |         sound: parselmouth.Sound = parselmouth.Sound(signal, sampling_rate)
44 |         file_path = self.args['file_path']
45 |         #sound = parselmouth.Sound(file_path)
46 |         method = self.args["method"]
47 |         if method == "RMS":
48 |             sound.scale_intensity(value)
49 |         elif method == "Peak":
50 |             call(sound, "Scale peak", value)
51 |         else:
52 |             sound.scale_intensity(value)
53 |         output_file_name: str = file_path.split("/")[-1].split(".wav")[0]
54 |         output_file_name = f"{output_file_name}_intensity_{value}_{method[0]}"
55 |         sound.name = output_file_name
56 | 
57 |         return {"voice": sound}
58 | 


--------------------------------------------------------------------------------
/voicelab/src/Voicelab/toolkits/Voicelab/VisualizeVoiceNodeTest.py:
--------------------------------------------------------------------------------
 1 | from ...pipeline.Node import Node
 2 | import numpy as np
 3 | import seaborn as sns
 4 | import parselmouth
 5 | from parselmouth.praat import call
 6 | import matplotlib.pyplot as plt
 7 | 
 8 | from .VoicelabNode import VoicelabNode
 9 | 
10 | from Voicelab.toolkits.Voicelab.VisualizeVoiceNode import VisualizeVoiceNode
11 | 
12 | 
13 | ###################################################################################################
14 | # VISUALIZE VOICE NODE
15 | # WARIO pipeline node for visualizing a voice as a spectrogram.
16 | ###################################################################################################
17 | # ARGUMENTS
18 | # 'voice'   : sound file generated by parselmouth praat
19 | ###################################################################################################
20 | # RETURNS
21 | ###################################################################################################
22 | 
23 | node = VisualizeVoiceNode()
24 | node.args['file_path'] = '/home/david/Desktop/Sderfahrer_mHK66.wav'
25 | node.args['voice'] = parselmouth.Sound(node.args['file_path'])
26 | node.args['window_length'] = 0.05
27 | node.args['colour_map'] = 'afmhot'  # gist_yarg, gist_heat, gist_rainbow, gist_stern, jet, nipy_spectral, rainbow, prism, gist_ncar
28 | node.show_figure = True
29 | # self.plot_formants(formants_axis, formants, voice)
30 | results = node.process()
31 | axis = results['figure'].get_axes()[0]
32 | voice = node.args["voice"]
33 | pitch = voice.to_pitch()
34 | pad_distance = 10
35 | formants = node.args['voice'].to_formant_burg()
36 | intensity = voice.to_intensity()
37 | node.plot_formants(axis, formants, voice)
38 | node.plot_pitch(axis, pitch, voice, pad_distance)
39 | node.plot_intensity(axis, intensity, pad_distance)
40 | results['figure'].show()


--------------------------------------------------------------------------------
/voicelab/src/Voicelab/toolkits/Voicelab/__init__.py:
--------------------------------------------------------------------------------
 1 | # Input Nodes
 2 | from .LoadVoicesNode import LoadVoicesNode
 3 | 
 4 | # TODO: Output Nodes
 5 | 
 6 | # Measure Nodes
 7 | from .VisualizeSpectrumNode import VisualizeSpectrumNode
 8 | from .MeasureSHRPNode import MeasureSHRPNode
 9 | from .MeasurePitchYinNode import MeasurePitchYinNode
10 | from .MeasureDurationNode import MeasureDurationNode
11 | from .MeasureIntensityNode import MeasureIntensityNode
12 | from .MeasureFormantNode import MeasureFormantNode
13 | from .MeasureHarmonicityNode import MeasureHarmonicityNode
14 | from .MeasureAlphaRatioNode import MeasureAlphaRatioNode
15 | #from .MeasureHarmonicsNode import MeasureHarmonicsNode
16 | from .MeasureJitterNode import MeasureJitterNode
17 | from .MeasurePitchNode import MeasurePitchNode
18 | from .MeasureShimmerNode import MeasureShimmerNode
19 | from .MeasureMFCCNode import MeasureMFCCNode
20 | from .MeasureVocalTractEstimatesNode import MeasureVocalTractEstimatesNode
21 | from .MeasureSpeechRateNode import MeasureSpeechRateNode
22 | from .MeasureCPPNode import MeasureCPPNode
23 | from .MeasureSpectralTiltNode import MeasureSpectralTiltNode
24 | from .MeasureEnergyNode import MeasureEnergyNode
25 | from .MeasureFormantPositionsNode import MeasureFormantPositionsNode
26 | from .MeasureLTASNode import MeasureLTASNode
27 | from .MeasureSpectralShapeNode import MeasureSpectralShapeNode
28 | from .ManipulateTruncateSoundsNode import ManipulateTruncateSoundsNode
29 | #from .TEVANode import TEVANode
30 | #from .MeasurePitchYinNode import MeasurePitchYinNode
31 | #from .MeasurePitchCrepeNode import MeasurePitchCrepeNode
32 | 
33 | # Manipulate Nodes
34 | from .ManipulateLowerPitchAndFormantsNode import ManipulateLowerPitchAndFormantsNode
35 | from .ManipulateRaisePitchAndFormantsNode import ManipulateRaisePitchAndFormantsNode
36 | from .ManipulateLowerFormantsNode import ManipulateLowerFormantsNode
37 | from .ManipulateRaiseFormantsNode import ManipulateRaiseFormantsNode
38 | from .ManipulatePitchLowerNode import ManipulatePitchLowerNode
39 | from .ManipulatePitchHigherNode import ManipulatePitchHigherNode
40 | from .ScaleIntensityNode import ScaleIntensityNode
41 | from .ResampleSoundsNode import ResampleSoundsNode
42 | from .ReverseSoundsNode import ReverseSoundsNode
43 | from .RotateSpectrumNode import RotateSpectrumNode
44 | 
45 | # Visualization Nodes
46 | from .VisualizeVoiceNode import VisualizeVoiceNode
47 | from .VisualizeSpectrumNode import VisualizeSpectrumNode
48 | 
49 | # Experimental Nodes
50 | from .F1F2PlotNode import F1F2PlotNode
51 | 


--------------------------------------------------------------------------------
/voicelab/src/Voicelab/toolkits/Voicelab/tmpfile.txt:
--------------------------------------------------------------------------------
 1 | 0.042328124999999987	257.69764631745363
 2 | 0.052328124999999989	257.95446843396542
 3 | 0.062328124999999984	256.69257427097671
 4 | 0.072328124999999993	254.97951680862928
 5 | 0.082328124999999988	254.81976702623595
 6 | 0.092328124999999983	254.61770093180863
 7 | 0.10232812499999999	254.98634055862007
 8 | 0.112328125	254.90958426619713
 9 | 0.12232812499999998	254.64614218944092
10 | 0.13232812499999999	254.52447993040636
11 | 0.142328125	254.25993804137096
12 | 0.15232812499999998	253.75186793907338
13 | 0.16232812499999999	252.83962999215692
14 | 0.172328125	251.96766378341545
15 | 0.18232812500000001	251.43109697739069
16 | 0.19232812499999999	250.91592824710037
17 | 0.202328125	250.31108476390352
18 | 0.21232812500000001	249.63519915231078
19 | 0.22232812499999999	249.22101696052187
20 | 0.232328125	248.55820522347744
21 | 0.24232812500000001	247.99581861286481
22 | 0.25232812499999996	247.12026061651275
23 | 0.26232812499999997	246.26646334322092
24 | 0.27232812499999998	245.48750337653368
25 | 0.28232812499999999	245.09822956091566
26 | 0.29232812499999999	244.70058087822929
27 | 0.302328125	244.18409497159675
28 | 0.31232812500000001	243.18330240784783
29 | 0.32232812500000002	242.0801307969667
30 | 0.33232812499999997	241.28367410807459
31 | 0.34232812499999998	241.54155375853895
32 | 0.35232812499999999	241.99764153085749
33 | 0.362328125	242.29423552968771
34 | 0.37232812500000001	242.82087023039537
35 | 0.38232812500000002	244.0436851146352
36 | 0.39232812500000003	244.48027532375997
37 | 0.40232812499999998	244.02368174965116
38 | 


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/voicelab/src/Voicelab/toolkits/__init__.py:
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https://raw.githubusercontent.com/Voice-Lab/VoiceLab/7d34cac2e21803b543355bbd03d346f3ea82c5d4/voicelab/src/Voicelab/toolkits/__init__.py


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/voicelab/src/Voicelab/voicelab_script.backup.py:
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 1 | #!/usr/bin/env python
 2 | 
 3 | import sys
 4 | import os
 5 | THIS_DIR = os.path.dirname(os.path.realpath(__file__))
 6 | PARENT_DIR = os.path.dirname(THIS_DIR)
 7 | print(PARENT_DIR)
 8 | VOICELAB_DIR = os.path.join(PARENT_DIR, '/voicelab/src')
 9 | sys.path.insert(0, ''.join([VOICELAB_DIR, "/Voicelab/toolkits/Voicelab"]))
10 | 
11 | sys.path.insert(0, PARENT_DIR)
12 | sys.path.insert(0, VOICELAB_DIR)
13 | import qdarkstyle
14 | import sys
15 | 
16 | 
17 | #from PyQt5.QtGui import *
18 | from PyQt5.QtWidgets import *
19 | #from PyQt5.QtCore import *
20 | #from voicelab.src.Voicelab.VoicelabGUI.InputTab import InputTab
21 | #from voicelab.src.Voicelab.VoicelabGUI.OutputTab import OutputTab
22 | #from voicelab.src.Voicelab.VoicelabGUI.SettingsTab import SettingsTab
23 | #from voicelab.src.Voicelab.VoicelabGUI.VoicelabController import VoicelabController
24 | #from voicelab.src.Voicelab.default_settings import available_functions, default_functions
25 | 
26 | from __main__ import VoicelabWizard
27 | 
28 | def main():
29 |     # boilerplate pyqt window creation
30 |     app = QApplication(sys.argv)
31 |     # setup stylesheet
32 |     app.setStyleSheet(qdarkstyle.load_stylesheet_pyqt5())
33 | 
34 |     # Create an instance of VoiceLab
35 |     w = VoicelabWizard()
36 |     # Show the GUI
37 |     w.show()
38 |     # Exit gracefully
39 |     sys.exit(app.exec_())
40 | 
41 | 
42 | if __name__ == "__main__":
43 |     main()


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/voicelab/src/Voicelab/voicelab_script.py:
--------------------------------------------------------------------------------
1 | #!/usr/bin/env python
2 | 
3 | from voicelab.src.Voicelab.__main__ import main
4 | 
5 | if __name__ == "__main__":
6 |     main()


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/voicelab/src/__init__.py:
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https://raw.githubusercontent.com/Voice-Lab/VoiceLab/7d34cac2e21803b543355bbd03d346f3ea82c5d4/voicelab/src/__init__.py


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/voicelab/src/favicon.ico:
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https://raw.githubusercontent.com/Voice-Lab/VoiceLab/7d34cac2e21803b543355bbd03d346f3ea82c5d4/voicelab/src/favicon.ico


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/voicelab/src/tmp.wav:
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https://raw.githubusercontent.com/Voice-Lab/VoiceLab/7d34cac2e21803b543355bbd03d346f3ea82c5d4/voicelab/src/tmp.wav


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/voicelab/src/voicelab_osx.spec:
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 1 | # -*- mode: python ; coding: utf-8 -*-
 2 | from PyInstaller.utils.hooks import collect_data_files
 3 | 
 4 | block_cipher = None
 5 | 
 6 | 
 7 | a = Analysis(['voicelab.py'],
 8 |              pathex=['VoiceLab'],
 9 |              binaries=[],
10 |              datas=collect_data_files('librosa'),
11 |              hiddenimports=['cmath',
12 |                             'sklearn.utils._weight_vector',
13 |                             'sklearn.neighbors._partition_nodes',
14 |                             'sklearn.metrics._pairwise_distances_reduction._datasets_pair',
15 |                             'sklearn.metrics._pairwise_distances_reduction._middle_term_computer'
16 |                            ],
17 |              hookspath=[],
18 |              runtime_hooks=[],
19 |              excludes=[],
20 |              win_no_prefer_redirects=False,
21 |              win_private_assemblies=False,
22 |              cipher=block_cipher,
23 |              noarchive=False)
24 | pyz = PYZ(a.pure, a.zipped_data,
25 |              cipher=block_cipher)
26 | exe = EXE(pyz,
27 |           a.scripts,
28 |           [],
29 |           exclude_binaries=True,
30 |           name='VoiceLab',
31 |           debug=False,
32 |           bootloader_ignore_signals=False,
33 |           strip=False,
34 |           upx=True,
35 |           console=False , 
36 |           icon='favicon.ico')
37 | coll = COLLECT(exe,
38 |                a.binaries,
39 |                a.zipfiles,
40 |                a.datas,
41 |                strip=False,
42 |                upx=True,
43 |                upx_exclude=[],
44 |                name='VoiceLab')
45 | app = BUNDLE(coll,
46 |              name='VoiceLab.app',
47 |              icon='Voicelab/favicon.ico',
48 |              bundle_identifier=None)
49 | 


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/voicelab/src/voicelab_ubuntu.spec:
--------------------------------------------------------------------------------
 1 | # -*- mode: python ; coding: utf-8 -*-
 2 | 
 3 | block_cipher = None
 4 | 
 5 | 
 6 | a = Analysis(['voicelab.py'],
 7 |              pathex=['VoiceLab'],
 8 |              binaries=[],
 9 |              datas=[],
10 |              hiddenimports=[],
11 |              hookspath=[],
12 |              runtime_hooks=[],
13 |              excludes=[],
14 |              win_no_prefer_redirects=False,
15 |              win_private_assemblies=False,
16 |              cipher=block_cipher,
17 |              noarchive=False)
18 | pyz = PYZ(a.pure, a.zipped_data,
19 |              cipher=block_cipher)
20 | exe = EXE(pyz,
21 |           a.scripts,
22 |           a.binaries,
23 |           a.zipfiles,
24 |           a.datas,
25 |           [],
26 |           name='voicelab',
27 |           debug=False,
28 |           bootloader_ignore_signals=False,
29 |           strip=False,
30 |           upx=True,
31 |           upx_exclude=[],
32 |           runtime_tmpdir=None,
33 |           console=False,
34 |           icon='favicon.ico' )
35 | 


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/voicelab/src/voicelab_windows.spec:
--------------------------------------------------------------------------------
 1 | # -*- mode: python ; coding: utf-8 -*-
 2 | from PyInstaller.utils.hooks import collect_data_files
 3 | 
 4 | 
 5 | block_cipher = None
 6 | 
 7 | 
 8 | a = Analysis(['Voicelab/voicelab_script.py'],
 9 |              pathex=['VoiceLab'],
10 |              binaries=[],
11 |              datas=collect_data_files('librosa'),
12 |              hiddenimports=['qdarkstyle',
13 |                              'PyQt5.sip',
14 |                              'sklearn.neighbors._partition_nodes',],
15 |              hookspath=[],
16 |              runtime_hooks=[],
17 |              excludes=[],
18 |              win_no_prefer_redirects=False,
19 |              win_private_assemblies=False,
20 |              cipher=block_cipher,
21 |              noarchive=False)
22 | pyz = PYZ(a.pure, a.zipped_data,
23 |              cipher=block_cipher)
24 | exe = EXE(pyz,
25 |           a.scripts,
26 |           a.binaries,
27 |           a.zipfiles,
28 |           a.datas,
29 |           [],
30 |           name='voicelab',
31 |           debug=False,
32 |           bootloader_ignore_signals=False,
33 |           strip=False,
34 |           upx=True,
35 |           upx_exclude=[],
36 |           runtime_tmpdir=None,
37 |           console=False,
38 |           icon='favicon.ico')
39 | 


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/voicelab/tests/__init__.py:
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/voicelab/tests/assets/audio/max_formant.csv:
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 1 | Filename,max_formant
 2 | female_mono_a.wav ,5500
 3 | female_mono_e.wav ,5500
 4 | female_mono_hi.wav ,5500
 5 | female_mono_i.wav ,5500
 6 | female_mono_o.wav ,5500
 7 | female_mono_sentence.wav ,5500
 8 | female_mono_u.wav ,5500
 9 | female_stereo_a.wav ,5500
10 | female_stereo_e.wav ,5500
11 | female_stereo_hi.wav ,5500
12 | female_stereo_i.wav ,5500
13 | female_stereo_o.wav ,5500
14 | female_stereo_sentence.wav ,5500
15 | female_stereo_u.wav ,5500
16 | male_mono_a.wav ,5000
17 | male_mono_e.wav ,5000
18 | male_mono_hi.wav ,5500
19 | male_mono_i.wav ,5000
20 | male_mono_o.wav ,5000
21 | male_mono_sentence.wav ,5000
22 | male_mono_u.wav ,5000
23 | male_stereo_a.wav ,5000
24 | male_stereo_e.wav ,5000
25 | male_stereo_hi.wav ,5500
26 | male_stereo_i.wav ,5000
27 | male_stereo_o.wav ,5000
28 | male_stereo_sentence.wav ,5000
29 | male_stereo_u.wav ,5000
30 | 


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/voicelab/tests/assets/audio/pitch_bounds.csv:
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 1 | Filename	floor	ceiling
 2 | female_mono_a.wav 	 100 	 500 
 3 | female_mono_e.wav 	 100 	 500 
 4 | female_mono_hi.wav 	 100 	 500 
 5 | female_mono_i.wav 	 100 	 500 
 6 | female_mono_o.wav 	 100 	 500 
 7 | female_mono_sentence.wav 	 100 	 500 
 8 | female_mono_u.wav 	 100 	 500 
 9 | female_stereo_a.wav 	 100 	 500 
10 | female_stereo_e.wav 	 100 	 500 
11 | female_stereo_hi.wav 	 100 	 500 
12 | female_stereo_i.wav 	 100 	 500 
13 | female_stereo_o.wav 	 100 	 500 
14 | female_stereo_sentence.wav 	 100 	 500 
15 | female_stereo_u.wav 	 100 	 500 
16 | male_mono_a.wav 	 50 	 300 
17 | male_mono_e.wav 	 50 	 300 
18 | male_mono_hi.wav 	 50 	 300 
19 | male_mono_i.wav 	 50 	 300 
20 | male_mono_o.wav 	 50 	 300 
21 | male_mono_sentence.wav 	 50 	 300 
22 | male_mono_u.wav 	 50 	 300 
23 | male_stereo_a.wav 	 50 	 300 
24 | male_stereo_e.wav 	 50 	 300 
25 | male_stereo_hi.wav 	 50 	 300 
26 | male_stereo_i.wav 	 50 	 300 
27 | male_stereo_o.wav 	 50 	 300 
28 | male_stereo_sentence.wav 	 50 	 300 
29 | male_stereo_u.wav 	 50 	 300 
30 | 


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/voicelab/tests/assets/praat_scripts/max_formant.psc:
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 1 | 
 2 | #Asks user for the directory of files to be worked on
 3 | 
 4 | directory$ = "/home/david/Dropbox/voicelab-poetry/voicelab/tests/assets/audio/"
 5 | 
 6 | #Sets up Data File - erases existing file with same name
 7 | filedelete 'directory$''name$'max_formant.csv
 8 | header_row$ = "Filename" + tab$ + "max_formant" + newline$
 9 | header_row$ > 'directory$'max_formant.csv
10 | 
11 | 
12 | #Sets up array of files to run batch process on
13 | Create Strings as file list...  list 'directory$'*.wav
14 |   number_files = Get number of strings
15 |   for j from 1 to number_files
16 |      select Strings list
17 |      current_token$ = Get string... 'j'
18 |      name$ = current_token$ - ".wav"
19 |      Read from file... 'directory$''current_token$'
20 | 
21 | 
22 | #This part measures pitch with broad parameters
23 |   select Sound 'name$'
24 |      nowarn To Pitch (ac): 0, 50, 15, "yes", 0.03, 0.45, 0.01, 0.35, 0.14, 600
25 |      broad = Get mean... 0 0 Hertz
26 |     if (170 <= broad) and (broad <= 300)
27 |         max_formant = 5500
28 |     elif broad < 170
29 |         max_formant = 5000
30 |     else
31 |         max_formant = 5500
32 |     endif
33 | 
34 |   fileappend "'directory$'max_formant.csv" 'current_token$' 'tab$' 'max_formant' 'newline$'
35 |  
36 | endfor
37 | select all
38 | minus Strings list
39 | Remove
40 | 
41 | 


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/voicelab/tests/assets/praat_scripts/pitch_bounds.psc:
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 1 | 
 2 | #Asks user for the directory of files to be worked on
 3 | 
 4 | directory$ = "/home/david/Dropbox/voicelab-poetry/voicelab/tests/assets/audio/"
 5 | 
 6 | #Sets up Data File - erases existing file with same name
 7 | filedelete 'directory$''name$'pitch_bounds.csv
 8 | header_row$ = "Filename" + tab$ + "floor" + tab$ + "ceiling"+ newline$
 9 | header_row$ > 'directory$'pitch_bounds.csv
10 | 
11 | 
12 | #Sets up array of files to run batch process on
13 | Create Strings as file list...  list 'directory$'*.wav
14 |   number_files = Get number of strings
15 |   for j from 1 to number_files
16 |      select Strings list
17 |      current_token$ = Get string... 'j'
18 |      name$ = current_token$ - ".wav"
19 |      Read from file... 'directory$''current_token$'
20 | 
21 | 
22 | #This part measures pitch with broad parameters
23 |   select Sound 'name$'
24 |      nowarn To Pitch (ac): 0, 50, 15, "yes", 0.03, 0.45, 0.01, 0.35, 0.14, 500
25 |      broad = Get mean... 0 0 Hertz
26 |      if broad > 170
27 |           floor = 100
28 |           ceiling = 500
29 |      elif broad < 170
30 |          floor = 50
31 |          ceiling = 300
32 |      #else
33 |      #    floor = 50
34 |      #    ceiling = 500
35 |     endif
36 | 
37 |   fileappend "'directory$'pitch_bounds.csv" 'current_token$' 'tab$' 'floor' 'tab$' 'ceiling' 'newline$'
38 |  
39 | endfor
40 | select all
41 | minus Strings list
42 | Remove
43 | 
44 | 


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/voicelab/tests/assets/praat_scripts/praatF0.praat:
--------------------------------------------------------------------------------
 1 | #############################
 2 | #
 3 | #  This script makes pitch tracks of the requested wav file and allows post-processing of the pitch tracks for smoothing/stylization.
 4 |  
 5 | #  Currently, only *.wav files are read.  Textgrids are ignored.
 6 | #
 7 | #  Input parameters include (in this order):
 8 | #  Input file, Time step, Minimum Pitch, Maximum Pitch, Silence Threshold,  
 9 | #  Voicing Threshold, Octave cost, octave-Jump Cost, Voiced/unvoiced cost, Kill octave jumps, Smooth, Interpolate, Method (ac or cc)
10 | #
11 | #  For each input, it creates a tab delimited text file with
12 | #  measurement results in the same folder.  The file consists
13 | #  of a pitch track created by the cross-correlation method (cc) or autocorrelation method.  Results  are saved as a *.cc or *.ac file
14 | #############################
15 | 
16 | form Create Pitch Tracks
17 |    comment See header of script for details. 
18 | 
19 |    comment Directory of input sound files
20 |    text wavfile D:\tmp\
21 | 
22 | #   sentence Sound_file_extension .wav
23 | #   comment Directory of TextGrid files
24 | #   text textGrid_directory D:\tmp\
25 | #   sentence TextGrid_file_extension .TextGrid
26 | #   comment Full path of the resulting text file:
27 | #   text resultfile D:\tmp\pitchresults.txt
28 | 
29 | # KY 20101013: edited to allow user input for all parameters and for ultrasmoothed (stylized) f0 contours
30 | 
31 | # kill octave jumps tries to remove pitch halving/doubling 
32 | # smoothing allows smoothing at a given bandwidth in Hz
33 | # interpolation allows interpolation over missing values (it is not clear to me if this linear, cubic spline, or what)
34 | 
35 |    comment F0 Measurement Parameters
36 |    positive time_step 0.005
37 |    positive minimum_pitch 50
38 |    positive maximum_pitch 500
39 |    positive silence_threshold 0.03
40 |    positive voicing_threshold 0.45
41 |    positive octave_cost 0.01
42 |    positive octave_jump_cost 0.35
43 |    positive voiced_unvoiced_cost 0.14
44 |    boolean kill_octave_jumps no
45 |    boolean smooth no
46 |    positive smooth_bandwidth 5
47 |    boolean interpolate no
48 |    sentence Method cc
49 | endform
50 | 
51 | 
52 | # A sound file is opened
53 | Read from file... 'wavfile$'
54 | soundname$ = selected$ ("Sound", 1)
55 | 
56 | # KY 20101013: edited to allow user input for all parameters
57 | 
58 | # Allow cross or auto correlation
59 | if method$ = "cc" 
60 |     To Pitch (cc)... 'time_step' 'minimum_pitch' 15 no 'silence_threshold' 'voicing_threshold' 'octave_cost' 'octave_jump_cost' 'voiced_unvoiced_cost' 'maximum_pitch'
61 | else
62 |   To Pitch (ac)... 'time_step' 'minimum_pitch' 15 no 'silence_threshold' 'voicing_threshold' 'octave_cost' 'octave_jump_cost' 'voiced_unvoiced_cost' 'maximum_pitch'
63 | endif
64 | 
65 | # KY 20101013:Postprocessing for smoothing/stylization
66 | 
67 | if 'kill_octave_jumps' = 1
68 |     Kill octave jumps
69 | endif
70 | 
71 | # Smooth 
72 | if 'smooth' = 1
73 |     Smooth... smooth_bandwidth
74 | endif
75 | 
76 | # Interpolate over missing values
77 | 
78 | if 'interpolate' = 1
79 |     Interpolate
80 | endif
81 | 
82 | Down to PitchTier
83 | 
84 | # Write to file	
85 | if method$ = "cc" 
86 |     resultfile$ = "'wavfile$'.praatcc"
87 | else
88 |     resultfile$ = "'wavfile$'.praatac"
89 | endif
90 | 
91 | # Check if the result file exists:
92 | if fileReadable (resultfile$)
93 | 	filedelete 'resultfile$'
94 | endif
95 | 
96 | Write to headerless spreadsheet file... 'resultfile$'
97 | 


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/voicelab/tests/test_ReverseSoundsNode.py:
--------------------------------------------------------------------------------
 1 | import sys
 2 | import os
 3 | import parselmouth
 4 | import numpy as np
 5 | import pytest
 6 | 
 7 | # Set up paths
 8 | TEST_DIR = os.path.dirname(os.path.realpath(__file__))
 9 | VOICELAB_DIR = os.path.dirname(TEST_DIR)
10 | AUDIO_DIR = os.path.join(VOICELAB_DIR, 'tests/assets/audio')
11 | 
12 | # in order for the relative imports in the files we are testing to run correctly,
13 | # we need to add these directories to the path
14 | sys.path.insert(0, ''.join([VOICELAB_DIR, "/src/Voicelab/toolkits/Voicelab"]))
15 | sys.path.insert(0, ''.join([VOICELAB_DIR, "/src"]))
16 | import ReverseSoundsNode  # Pycharm doesn't like this, but it works
17 | 
18 | 
19 | # Arrange
20 | def get_test_files():
21 |     number_of_test_files = len(os.listdir(AUDIO_DIR)) - 1  # -1 because the first file is a broken sound
22 |     test_files = sorted(os.listdir(AUDIO_DIR))[1:]
23 |     return number_of_test_files, test_files
24 | 
25 | # Arrange
26 | def prepare_node(test_file):
27 |     file_path = os.path.join(AUDIO_DIR, test_file)
28 |     node = ReverseSoundsNode.ReverseSoundsNode()
29 |     node.args['file_path'] = file_path
30 |     # Load the sound and setup the node
31 |     try:
32 |         sound: parselmouth.Sound = parselmouth.Sound(file_path)
33 |         signal = sound.values
34 |         sampling_rate = sound.sampling_frequency
35 |     except:
36 |         signal = None
37 |         sampling_rate = None
38 |     node.voice = (signal, sampling_rate)
39 |     node.args['voice'] = (signal, sampling_rate)
40 |     print((f"{file_path=}..{sampling_rate=}"))
41 |     return node
42 | 
43 | # Arrange
44 | def get_reversed_test_sound(test_file):
45 |     file_path = os.path.join(AUDIO_DIR, test_file)
46 |     validation_sound = parselmouth.Sound(file_path)
47 |     validation_sound.reverse()
48 |     return validation_sound.values
49 | 
50 | # Arrange
51 | def get_number_of_test_files():
52 |     number_of_test_files, _ = get_test_files()
53 |     return number_of_test_files
54 | 
55 | def generate_numpy_arrays(execution_number):
56 |     number_of_test_files, test_files = get_test_files()
57 |     filename = test_files[execution_number]
58 |     node = prepare_node(filename)
59 |     # Run the node
60 |     results = node.process()
61 |     print(results)
62 |     # Validate the results
63 |     validation_sound = get_reversed_test_sound(filename)
64 |     test_sound = results['voice'].values
65 |     return test_sound, validation_sound
66 | 
67 | # Act
68 | @pytest.mark.parametrize('execution_number', range(len(os.listdir(AUDIO_DIR)) - 1))
69 | def test_ReverseSoundsNode(execution_number):
70 |     test_sound, validation_sound = generate_numpy_arrays(execution_number)
71 |     assert np.array_equal(test_sound, validation_sound)
72 | 


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