├── .gitignore ├── LICENSE ├── README.md ├── api-tutorial ├── 01 Create Surge and Play a Note.ipynb ├── 02 Parameters, Patches and the Synth.ipynb ├── 03 Modulation.ipynb ├── 04 The Runtime Parameter View.ipynb ├── 05 Filters.ipynb ├── 06 Play some Music.ipynb ├── 07 Effects.ipynb └── README.md └── scripts ├── dsp_simulations ├── ThreelerAnalysis.ipynb └── TuningNeuronEffect.ipynb └── misc └── setup-colab.sh /.gitignore: -------------------------------------------------------------------------------- 1 | */.ipynb_checkpoints/* 2 | .DS_Store 3 | .vscode/ 4 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | GNU GENERAL PUBLIC LICENSE 2 | Version 3, 29 June 2007 3 | 4 | Copyright (C) 2007 Free Software Foundation, Inc. 5 | Everyone is permitted to copy and distribute verbatim copies 6 | of this license document, but changing it is not allowed. 7 | 8 | Preamble 9 | 10 | The GNU General Public License is a free, copyleft license for 11 | software and other kinds of works. 12 | 13 | The licenses for most software and other practical works are designed 14 | to take away your freedom to share and change the works. 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If not, see . 649 | 650 | Also add information on how to contact you by electronic and paper mail. 651 | 652 | If the program does terminal interaction, make it output a short 653 | notice like this when it starts in an interactive mode: 654 | 655 | Copyright (C) 656 | This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. 657 | This is free software, and you are welcome to redistribute it 658 | under certain conditions; type `show c' for details. 659 | 660 | The hypothetical commands `show w' and `show c' should show the appropriate 661 | parts of the General Public License. Of course, your program's commands 662 | might be different; for a GUI interface, you would use an "about box". 663 | 664 | You should also get your employer (if you work as a programmer) or school, 665 | if any, to sign a "copyright disclaimer" for the program, if necessary. 666 | For more information on this, and how to apply and follow the GNU GPL, see 667 | . 668 | 669 | The GNU General Public License does not permit incorporating your program 670 | into proprietary programs. If your program is a subroutine library, you 671 | may consider it more useful to permit linking proprietary applications with 672 | the library. If this is what you want to do, use the GNU Lesser General 673 | Public License instead of this License. But first, please read 674 | . 675 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # surge-python 2 | 3 | This repo contains examples of how to use surgepy, Python bindings 4 | for the [Surge synthesizer](https://surge-synthesizer.github.io/), 5 | as well as scripts for developing and tuning new signal processing 6 | algorithms to be used by Surge. 7 | -------------------------------------------------------------------------------- /api-tutorial/03 Modulation.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "markdown", 5 | "metadata": {}, 6 | "source": [ 7 | "# 03 Modulation\n", 8 | "\n", 9 | "Surge is a powerful synth for many reasons - the oscillators, filters, and effects - but the flexible modulation\n", 10 | "architecture is one of the most powerful sound design tools in the instrument. We expose almost all of the modulation architecture to python as the API (the current exceptions are: We do not expose the step sequencer\n", 11 | "and MSEG model states as of this writing).\n", 12 | "\n", 13 | "Using the API you can query modulation routings (the mapping between a source and a parameter) and set them easily\n", 14 | "allowing you almost complete flexibility on queriying and creating a patch.\n" 15 | ] 16 | }, 17 | { 18 | "cell_type": "code", 19 | "execution_count": 1, 20 | "metadata": {}, 21 | "outputs": [ 22 | { 23 | "data": { 24 | "text/plain": [ 25 | "'1.8.more-python.185c1075'" 26 | ] 27 | }, 28 | "execution_count": 1, 29 | "metadata": {}, 30 | "output_type": "execute_result" 31 | } 32 | ], 33 | "source": [ 34 | "import sys\n", 35 | "# Replace this with a path to the built surgepy \n", 36 | "sys.path.append( \"../../surge/cmake-build-debug-xc\" )\n", 37 | "\n", 38 | "import os\n", 39 | "import surgepy\n", 40 | "import surgepy.constants as srco\n", 41 | "import numpy as np\n", 42 | "import IPython\n", 43 | "\n", 44 | "%matplotlib inline\n", 45 | "import matplotlib\n", 46 | "import matplotlib.pyplot as plt\n", 47 | "plt.rcParams['figure.figsize'] = [12, 8]\n", 48 | "\n", 49 | "surgepy.getVersion()" 50 | ] 51 | }, 52 | { 53 | "cell_type": "markdown", 54 | "metadata": {}, 55 | "source": [ 56 | "## Traversing and Understanding modulations\n", 57 | "\n", 58 | "Lets start by investigating the modulation routings. We will choose one of the 3rd party partches in surge\n", 59 | "and look at the mod matrix using the `getAllModRoutings` operator. We can then query individual routings and their\n", 60 | "validity using the API." 61 | ] 62 | }, 63 | { 64 | "cell_type": "code", 65 | "execution_count": 2, 66 | "metadata": {}, 67 | "outputs": [ 68 | { 69 | "data": { 70 | "text/plain": [ 71 | "{'global': [],\n", 72 | " 'scene': [{'scene': [],\n", 73 | " 'voice': [,\n", 74 | " ,\n", 75 | " ,\n", 76 | " ,\n", 77 | " ,\n", 78 | " ,\n", 79 | " ,\n", 80 | " ,\n", 81 | " ,\n", 82 | " ,\n", 83 | " ,\n", 84 | " ,\n", 85 | " ]},\n", 86 | " {'scene': [], 'voice': []}]}" 87 | ] 88 | }, 89 | "execution_count": 2, 90 | "metadata": {}, 91 | "output_type": "execute_result" 92 | } 93 | ], 94 | "source": [ 95 | "s = surgepy.createSurge(44100)\n", 96 | "p = os.path.join(s.getFactoryDataPath(), \"patches_3rdparty/Jacky Ligon/Soundscapes/Whale Communion.fxp\")\n", 97 | "s.loadPatch(p)\n", 98 | "mr = s.getAllModRoutings()\n", 99 | "mr" 100 | ] 101 | }, 102 | { 103 | "cell_type": "code", 104 | "execution_count": 3, 105 | "metadata": {}, 106 | "outputs": [ 107 | { 108 | "data": { 109 | "text/plain": [ 110 | "[,\n", 111 | " ,\n", 112 | " -25.0,\n", 113 | " -0.19230769574642181]" 114 | ] 115 | }, 116 | "execution_count": 3, 117 | "metadata": {}, 118 | "output_type": "execute_result" 119 | } 120 | ], 121 | "source": [ 122 | "vr0 = mr[\"scene\"][0][\"voice\"][1]\n", 123 | "[vr0.getSource(),\n", 124 | " vr0.getDest(),\n", 125 | " vr0.getDepth(),\n", 126 | " vr0.getNormalizedDepth()]" 127 | ] 128 | }, 129 | { 130 | "cell_type": "markdown", 131 | "metadata": {}, 132 | "source": [ 133 | "So what is that 'normalized depth' vs 'depth'? The normalize depth is scaled by the range of the\n", 134 | "parameter to be between -1 and 1, and is what the synth uses internally. The `getModulation` API\n", 135 | "on the surge synth uses that normalized value. So lets look - we should be able to recreate the\n", 136 | "depth from the normalized depth and the destination min and max easily. And here we see that we can." 137 | ] 138 | }, 139 | { 140 | "cell_type": "code", 141 | "execution_count": 4, 142 | "metadata": {}, 143 | "outputs": [ 144 | { 145 | "data": { 146 | "text/plain": [ 147 | "[-0.19230769574642181, -25.000000447034836, -25.0]" 148 | ] 149 | }, 150 | "execution_count": 4, 151 | "metadata": {}, 152 | "output_type": "execute_result" 153 | } 154 | ], 155 | "source": [ 156 | "mx = s.getParamMax( vr0.getDest() );\n", 157 | "mn = s.getParamMin( vr0.getDest() );\n", 158 | "md = s.getModDepth01( vr0.getDest(), vr0.getSource() );\n", 159 | "\n", 160 | "[\n", 161 | " md,\n", 162 | " md * ( mx - mn ),\n", 163 | " vr0.getDepth(),\n", 164 | "]" 165 | ] 166 | }, 167 | { 168 | "cell_type": "markdown", 169 | "metadata": {}, 170 | "source": [ 171 | "## Creating modulations\n", 172 | "\n", 173 | "Creating modulations requires you to locate a source, a target, and bind them with a depth. Lets do this in a \n", 174 | "fresh surge and do the simplest thing of binding the mixer volume for an oscillator to an LFO, which shoudl make\n", 175 | "our waveform oscillate. To do this we use the new API where we find a mod source using the surge constants.\n", 176 | "We can see this single routing shows up in the allModRoutings API also.\n", 177 | "\n", 178 | "To show a bit of the expanded API, we also modify the type and rate of the LFO." 179 | ] 180 | }, 181 | { 182 | "cell_type": "code", 183 | "execution_count": 5, 184 | "metadata": {}, 185 | "outputs": [ 186 | { 187 | "data": { 188 | "text/plain": [ 189 | "[]" 190 | ] 191 | }, 192 | "execution_count": 5, 193 | "metadata": {}, 194 | "output_type": "execute_result" 195 | }, 196 | { 197 | "data": { 198 | "image/png": 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\n", 199 | "text/plain": [ 200 | "
" 201 | ] 202 | }, 203 | "metadata": { 204 | "needs_background": "light" 205 | }, 206 | "output_type": "display_data" 207 | } 208 | ], 209 | "source": [ 210 | "s = surgepy.createSurge(44100)\n", 211 | "p = s.getPatch();\n", 212 | "\n", 213 | "level_o1 = p[\"scene\"][0][\"level_o1\"]\n", 214 | "s.setParamVal(level_o1, 0.5)\n", 215 | "\n", 216 | "lfoSource = s.getModSource( srco.ms_lfo1 )\n", 217 | "lfoParms = p[\"scene\"][0][\"lfo\"][0]\n", 218 | "s.setParamVal( lfoParms[\"rate\"], 2 ) # this is 2^val hz\n", 219 | "s.setParamVal( lfoParms[\"shape\"], srco.lt_square )\n", 220 | "\n", 221 | "s.setModDepth01( level_o1, lfoSource, 0.1 )\n", 222 | "\n", 223 | "onesec = int(s.getSampleRate()/s.getBlockSize())\n", 224 | "buf = s.createMultiBlock( 2 * onesec )\n", 225 | "s.playNote( 0, 60, 127, 0 )\n", 226 | "s.processMultiBlock( buf )\n", 227 | "\n", 228 | "plt.plot( buf[0] )" 229 | ] 230 | }, 231 | { 232 | "cell_type": "markdown", 233 | "metadata": {}, 234 | "source": [ 235 | "Not all routings are valid, as described in the manual. For instance, you can't route a voice LFO\n", 236 | "to a scene level parameter, like an FX, or route to any integer parameter. We expose this via the\n", 237 | "synth with a collection of checks which we briefly demonstrate here." 238 | ] 239 | }, 240 | { 241 | "cell_type": "code", 242 | "execution_count": 6, 243 | "metadata": {}, 244 | "outputs": [ 245 | { 246 | "data": { 247 | "text/plain": [ 248 | "['Only Scene LFOs can modulate FX',\n", 249 | " ,\n", 250 | " ,\n", 251 | " False,\n", 252 | " True]" 253 | ] 254 | }, 255 | "execution_count": 6, 256 | "metadata": {}, 257 | "output_type": "execute_result" 258 | } 259 | ], 260 | "source": [ 261 | "s = surgepy.createSurge(44100)\n", 262 | "p = s.getPatch()\n", 263 | "fx = p[\"fx\"][0]\n", 264 | "fxp0 = fx[\"p\"][0]\n", 265 | "\n", 266 | "vlfo = s.getModSource( srco.ms_lfo1 )\n", 267 | "slfo = s.getModSource( srco.ms_slfo1 )\n", 268 | "\n", 269 | "s.setParamVal( fx[\"type\"], srco.fxt_delay )\n", 270 | "# Changing FX Type requires at least one run of the audio thread\n", 271 | "s.process()\n", 272 | "\n", 273 | "[\n", 274 | " \"Only Scene LFOs can modulate FX\",\n", 275 | " vlfo,\n", 276 | " slfo,\n", 277 | " s.isValidModulation( fxp0, vlfo ),\n", 278 | " s.isValidModulation( fxp0, slfo )\n", 279 | "]\n", 280 | "\n" 281 | ] 282 | }, 283 | { 284 | "cell_type": "code", 285 | "execution_count": null, 286 | "metadata": {}, 287 | "outputs": [], 288 | "source": [] 289 | } 290 | ], 291 | "metadata": { 292 | "kernelspec": { 293 | "display_name": "Python 3", 294 | "language": "python", 295 | "name": "python3" 296 | }, 297 | "language_info": { 298 | "codemirror_mode": { 299 | "name": "ipython", 300 | "version": 3 301 | }, 302 | "file_extension": ".py", 303 | "mimetype": "text/x-python", 304 | "name": "python", 305 | "nbconvert_exporter": "python", 306 | "pygments_lexer": "ipython3", 307 | "version": "3.9.1" 308 | } 309 | }, 310 | "nbformat": 4, 311 | "nbformat_minor": 4 312 | } 313 | -------------------------------------------------------------------------------- /api-tutorial/04 The Runtime Parameter View.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "markdown", 5 | "metadata": {}, 6 | "source": [ 7 | "# Coming Soon" 8 | ] 9 | }, 10 | { 11 | "cell_type": "code", 12 | "execution_count": null, 13 | "metadata": {}, 14 | "outputs": [], 15 | "source": [] 16 | } 17 | ], 18 | "metadata": { 19 | "kernelspec": { 20 | "display_name": "Python 3", 21 | "language": "python", 22 | "name": "python3" 23 | }, 24 | "language_info": { 25 | "codemirror_mode": { 26 | "name": "ipython", 27 | "version": 3 28 | }, 29 | "file_extension": ".py", 30 | "mimetype": "text/x-python", 31 | "name": "python", 32 | "nbconvert_exporter": "python", 33 | "pygments_lexer": "ipython3", 34 | "version": "3.9.1" 35 | } 36 | }, 37 | "nbformat": 4, 38 | "nbformat_minor": 4 39 | } 40 | -------------------------------------------------------------------------------- /api-tutorial/README.md: -------------------------------------------------------------------------------- 1 | # Surge API tutorial 2 | 3 | This tutorial is presented as a set of iPython notebooks showing 4 | the Surge API. It presuposes the following 5 | 6 | 1. You have a jupyter environment which can see the surge python library 7 | 2. You understand surge. 8 | 9 | To meet goal 1, checkout the surge project and build and install the 10 | targets surgepy and install-resources-local. The script in `scripts/misc` 11 | here shows how to do that on a collab linux instance. 12 | 13 | To meet goal 2, we storngly suggest you actually play the surge VST for 14 | a while. The object model in Surge and the UI are very tightly coupled 15 | and the examples here will be much clearer if you understand the 16 | synth. 17 | 18 | -------------------------------------------------------------------------------- /scripts/misc/setup-colab.sh: -------------------------------------------------------------------------------- 1 | #!/bin/bash 2 | # These are build instructions for Google Colab (Ubuntu 18.04) 3 | 4 | apt-get -qq update 5 | 6 | # Install prerequisites from Surge 7 | apt-get -qq install build-essential libcairo-dev libxkbcommon-x11-dev libxkbcommon-dev libxcb-cursor-dev libxcb-keysyms1-dev libxcb-util-dev 8 | 9 | # We need cmake >= 3.15 10 | apt-get -qq remove cmake 11 | apt -qq autoremove 12 | apt-get -qq install -y apt-transport-https ca-certificates gnupg software-properties-common wget 13 | wget -O - https://apt.kitware.com/keys/kitware-archive-latest.asc | apt-key add - 14 | apt-add-repository 'deb https://apt.kitware.com/ubuntu/ bionic main' 15 | apt-get -qq update 16 | apt-get -qq install cmake 17 | 18 | # Clone surge from master, and build 19 | git clone --quiet https://github.com/surge-synthesizer/surge.git 20 | cd surge 21 | git submodule --quiet update --init --recursive 22 | /usr/bin/cmake -Bbuildpy -DBUILD_SURGE_PYTHON_BINDINGS=TRUE -DCMAKE_BUILD_TYPE=Release 23 | 24 | # Specifically build surgepy integration 25 | # We use colab specific paths to find -lpython, but please modify 26 | # this if your python.so is in another directory. 27 | 28 | LD_LIBRARY_PATH="/usr/lib/python3.6/config-3.6m-x86_64-linux-gnu/:$LD_LIBRARY_PATH" /usr/bin/cmake --build buildpy --config Release --target surgepy 29 | /usr/bin/cmake --build buildpy --target install-resources-local 30 | --------------------------------------------------------------------------------