├── 00-Hello.ipynb
├── INFO-ResearchGroups.md
├── MIR-01.ipynb
├── MIR-02_1.ipynb
├── MIR-02_2.ipynb
├── MIR-02_3.ipynb
├── MIR-02_4.ipynb
├── README.md
├── attachment
    ├── cat-meow.mp3
    ├── mir01-midi.mid
    ├── mir01-music-example.wav
    ├── mir01-music-score.png
    ├── mir01-musicxml.png
    ├── mir01-pianoroll.png
    ├── mir02-adsr.png
    ├── mir02-c4.png
    ├── mir02-centroidaudio.wav
    ├── mir02-dongda.wav
    ├── mir02-instrument-adsr.png
    ├── mir02-mds.png
    ├── mir02-melfilterbank.png
    ├── mir02-multiplef0.png
    ├── mir02-oboe_C6_1046Hz.wav
    ├── mir02-tf2salience.png
    ├── mir02-timbrespace.png
    ├── mir02-workflow.png
    └── qrcode.jpg
└── requirements.txt


/00-Hello.ipynb:
--------------------------------------------------------------------------------
  1 | {
  2 |  "cells": [
  3 |   {
  4 |    "cell_type": "markdown",
  5 |    "metadata": {},
  6 |    "source": [
  7 |     "Jupyter Notebook以单元格(cell)为单位来执行其中的代码\n",
  8 |     "\n",
  9 |     "可以通过快捷键`SHIFT+ENTER`运行光标所在的单元格\n",
 10 |     "\n",
 11 |     "因为我们在调用Python 3.7内核，因此每个单元格都默认以处理Python代码的方式来编译\n",
 12 |     "\n",
 13 |     "这段文本内容将该单元格的属性从code改成了Markdown，因此不会按代码编译\n",
 14 |     "\n",
 15 |     "那么，如何具体通过执行Python代码来入门音乐科技呢？\n",
 16 |     "\n",
 17 |     "关于Python的基础知识，网上资源丰富，建议读者自行熟悉\n",
 18 |     "\n",
 19 |     "不过博主说过了要无痛入门，所以每行代码到底在做什么会给大家安排得明明白白\n",
 20 |     "\n",
 21 |     "另外除了Python代码，Notebook自带许多Magic操作\n",
 22 |     "\n",
 23 |     "比如`%matplotlib inline`就会使图像内嵌显示在这里，而非弹出一个新的窗口"
 24 |    ]
 25 |   },
 26 |   {
 27 |    "cell_type": "markdown",
 28 |    "metadata": {},
 29 |    "source": [
 30 |     "### ♫ 这篇Notebook会简单介绍下今后文章里会经常出现的代码功能♫"
 31 |    ]
 32 |   },
 33 |   {
 34 |    "cell_type": "markdown",
 35 |    "metadata": {},
 36 |    "source": [
 37 |     "**✎ 使用模块**\n",
 38 |     "\n",
 39 |     "无论是Python本身内置模块，还是之前我们通过`pip`安装好的第三方模块（例如`librosa`）\n",
 40 |     "\n",
 41 |     "只要安装完毕，这些模块就可以立刻通过`import`来调用\n",
 42 |     "\n",
 43 |     "由于我们需要通过`matplotlib.pyplot`显示图像，用`IPython.display`播放音频\n",
 44 |     "\n",
 45 |     "还将用到`librosa`里的方法来加载一段音频，以及`librosa.display`画波形\n",
 46 |     "\n",
 47 |     "以上都需要被调用："
 48 |    ]
 49 |   },
 50 |   {
 51 |    "cell_type": "code",
 52 |    "execution_count": 1,
 53 |    "metadata": {},
 54 |    "outputs": [],
 55 |    "source": [
 56 |     "%matplotlib inline              \n",
 57 |     "import matplotlib.pyplot as plt  # 将该模块重命名为plt被调用\n",
 58 |     "import IPython.display as ipd    # 将该模块重命名为ipd被调用\n",
 59 |     "import librosa, librosa.display  # 可用逗号分隔被调用的模块"
 60 |    ]
 61 |   },
 62 |   {
 63 |    "cell_type": "markdown",
 64 |    "metadata": {},
 65 |    "source": [
 66 |     "**✎ 加载音频文件**\n",
 67 |     "\n",
 68 |     "通过`librosa`模块里的`load`方法，我们可以加载指定路径下的音频，如`attachment`文件夹内的`cat-meow.mp3`\n",
 69 |     "\n",
 70 |     "该方法会返回两个变量：\n",
 71 |     "\n",
 72 |     "- `x`代表音频数据本身\n",
 73 |     "- `sr`代表以何种采样率得到的数据`x`"
 74 |    ]
 75 |   },
 76 |   {
 77 |    "cell_type": "code",
 78 |    "execution_count": 2,
 79 |    "metadata": {
 80 |     "collapsed": true
 81 |    },
 82 |    "outputs": [],
 83 |    "source": [
 84 |     "x, sr = librosa.load('attachment/cat-meow.mp3')"
 85 |    ]
 86 |   },
 87 |   {
 88 |    "cell_type": "markdown",
 89 |    "metadata": {},
 90 |    "source": [
 91 |     "如果出现无法加载的问题，极大可能是因为你的电脑需要另外安装[ffmpeg](https://www.ffmpeg.org/)\n",
 92 |     "\n",
 93 |     "Linux和OSX系统下的conda会默认安装ffmpeg，但是Windows用户需要额外安装 "
 94 |    ]
 95 |   },
 96 |   {
 97 |    "cell_type": "markdown",
 98 |    "metadata": {},
 99 |    "source": [
100 |     "**✎ 播放音频**\n",
101 |     "\n",
102 |     "通过`ipd`模块里的`Audio`方法可以播放采样率为`sr`的音频数据`x`，听到一声猫咪叫~"
103 |    ]
104 |   },
105 |   {
106 |    "cell_type": "code",
107 |    "execution_count": 3,
108 |    "metadata": {},
109 |    "outputs": [
110 |     {
111 |      "data": {
112 |       "text/html": [
113 |        "\n",
114 |        "                <audio controls=\"controls\" >\n",
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\" type=\"audio/wav\" />\n",
116 |        "                    Your browser does not support the audio element.\n",
117 |        "                </audio>\n",
118 |        "              "
119 |       ],
120 |       "text/plain": [
121 |        "<IPython.lib.display.Audio object>"
122 |       ]
123 |      },
124 |      "execution_count": 3,
125 |      "metadata": {},
126 |      "output_type": "execute_result"
127 |     }
128 |    ],
129 |    "source": [
130 |     "ipd.Audio(x, rate=sr)"
131 |    ]
132 |   },
133 |   {
134 |    "cell_type": "markdown",
135 |    "metadata": {},
136 |    "source": [
137 |     "**✎ 画出音频波形**\n",
138 |     "\n",
139 |     "最后我们再用`plt`的`figure`方法规定画出一个尺寸为长15高5的图像\n",
140 |     "\n",
141 |     "图像是猫咪音频的波形图，即一维数据`x`在不同时间点上的大小,并用`alpha`变量的值规定图像透明度："
142 |    ]
143 |   },
144 |   {
145 |    "cell_type": "code",
146 |    "execution_count": 4,
147 |    "metadata": {},
148 |    "outputs": [
149 |     {
150 |      "data": {
151 |       "text/plain": [
152 |        "<matplotlib.collections.PolyCollection at 0x113657e48>"
153 |       ]
154 |      },
155 |      "execution_count": 4,
156 |      "metadata": {},
157 |      "output_type": "execute_result"
158 |     },
159 |     {
160 |      "data": {
161 |       "image/png": 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\n",
162 |       "text/plain": [
163 |        "<Figure size 1080x360 with 1 Axes>"
164 |       ]
165 |      },
166 |      "metadata": {},
167 |      "output_type": "display_data"
168 |     }
169 |    ],
170 |    "source": [
171 |     "plt.figure(figsize=(15, 5))\n",
172 |     "librosa.display.waveplot(x, sr, alpha=0.8)"
173 |    ]
174 |   },
175 |   {
176 |    "cell_type": "markdown",
177 |    "metadata": {},
178 |    "source": [
179 |     "希望此时此刻，你已经感受到Jupyter Notebook的方便之处\n",
180 |     "\n",
181 |     "如果你成功在自己的电脑上运行了每一个单元格，并做了一些自己的注解的话，记得随手保存！\n",
182 |     "\n",
183 |     "你还可以将该Notebook下载为PDF等格式（File->Downloaded as）\n",
184 |     "\n",
185 |     "若想探索更多妙用，可以参考知乎问题[如何优雅地使用Jupyter](https://www.zhihu.com/question/59392251)"
186 |    ]
187 |   }
188 |  ],
189 |  "metadata": {
190 |   "kernelspec": {
191 |    "display_name": "Python [conda env:py37]",
192 |    "language": "python",
193 |    "name": "conda-env-py37-py"
194 |   },
195 |   "language_info": {
196 |    "codemirror_mode": {
197 |     "name": "ipython",
198 |     "version": 3
199 |    },
200 |    "file_extension": ".py",
201 |    "mimetype": "text/x-python",
202 |    "name": "python",
203 |    "nbconvert_exporter": "python",
204 |    "pygments_lexer": "ipython3",
205 |    "version": "3.7.0"
206 |   }
207 |  },
208 |  "nbformat": 4,
209 |  "nbformat_minor": 2
210 | }
211 | 


--------------------------------------------------------------------------------
/INFO-ResearchGroups.md:
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  1 | > 又到了每年各位同学准备着手申请硕士/博士专业，以及各大公司开始提前批招聘应届生的时候了！ 为了方便大家，总结了一份与音乐科技相关的科研组列表，如有遗漏还请包涵！
  2 | 
  3 | 以下科研组按地区排列（[英国及欧洲](#英国及欧洲地区)/[北美](#北美地区)/[亚洲](#亚洲地区)，排名不分先后），每个组织的研究重点有所不同，可访问其官网仔细查看。
  4 | 
  5 | **♬ 在文章的[最后](#最后)还有份小惊喜哟！♬**
  6 | 
  7 | ---
  8 | 
  9 | ### 『英国及欧洲地区』
 10 | 
 11 | ✎ Centre for Digital Music (C4DM)
 12 | - Queen Mary University of London
 13 | - London, Uk
 14 | - http://c4dm.eecs.qmul.ac.uk
 15 | 
 16 | ✎ Embodied AudioVisual Interaction Group (EAVI)
 17 | - Goldsmiths, University of London
 18 | - London, UK
 19 | - http://eavi.goldsmithsdigital.com
 20 | 
 21 | ✎ Music Informatics Research Group
 22 | - City University London
 23 | - London, UK
 24 | - http://mirg.city.ac.uk
 25 | 
 26 | ✎ Centre for Music and Science (CMS)
 27 | - University of Cambridge
 28 | - Cambridge, UK
 29 | - https://cms.mus.cam.ac.uk
 30 | 
 31 | ✎ Machine Audition (A-Lab) of Centre for Vision Speech and Signal Processing
 32 | - University of Surrey
 33 | - Surrey, Uk
 34 | - https://www.surrey.ac.uk/centre-vision-speech-signal-processing/research/a-lab-machine-audition
 35 | 
 36 | ✎ Music Technology Group (MTG)
 37 | - Universitat Pompeu Fabra
 38 | - Barcelona, Spain
 39 | - https://www.upf.edu/web/mtg
 40 | 
 41 | ✎ Department of Computational Perception
 42 | - Johannes Kepler University Linz
 43 | - Linz, Austria
 44 | - https://www.jku.at/en/institute-of-computational-perception/
 45 | 
 46 | ✎ Intelligent Music Processing and Machine Learning Group (IMP/ML)
 47 | - Austrian Research Institute for Artificial Intelligence (OFAI)
 48 | - Vienna, Austria
 49 | - http://www.ofai.at/research/impml/index.html
 50 | 
 51 | ✎ Music Information Retrieval Lab
 52 | - Vienna University of Technology
 53 | - Vienna, Austria
 54 | - http://www.ifs.tuwien.ac.at/mir/
 55 | 
 56 | ✎ Institute for Electronic Music and Acoustics (IEM)
 57 | - University of Music and Performing Arts Graz
 58 | - Graz, Austria
 59 | - https://iem.kug.ac.at/en/institute-of-electronic-music-and-acoustics.html
 60 | 
 61 | ✎ International Audio Laboratories Erlangen (AudioLabs)
 62 | - Fraunhofer IIS and Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
 63 | - Erlangen, Germany
 64 | - https://www.audiolabs-erlangen.de
 65 | 
 66 | ✎ Special Interest Group on Music Analysis (SIGMA)
 67 | - Technische Universität Dortmund
 68 | - Dortmund, Germany
 69 | - http://sig-ma.de
 70 | 
 71 | ✎ Institute for Research and Coordination in Acoustics/Music (IRCAM)
 72 | - Paris, France
 73 | - https://www.ircam.fr
 74 | 
 75 | ✎ Audio Data Analysis and Signal Processing (ADASP)
 76 | - Telecom ParisTech
 77 | - Paris, France
 78 | - http://www.tsi.telecom-paristech.fr/aao/en/
 79 | 
 80 | ✎ Algomus
 81 | - Lille, France
 82 | - http://www.algomus.fr
 83 | 
 84 | ✎ Audio Signal Processing Research Group
 85 | - Aalto University
 86 | - Aalto, Finland
 87 | - http://spa.aalto.fi/en/research/research_groups/audio_signal_processing/
 88 | 
 89 | ✎ Department of Music, Art and Culture Studies
 90 | - University of Jyväskylä
 91 | - Jyväskylä, Finland
 92 | - https://www.jyu.fi/hytk/fi/laitokset/mutku/en
 93 | 
 94 | ✎ Audio Analysis Lab
 95 | - Aalborg University
 96 | - Aalborg, Denmark
 97 | - https://audio.create.aau.dk
 98 | 
 99 | ✎ Multimedia and Geometry (MG)
100 | - Utrecht University
101 | - Utrecht, Netherlands
102 | - http://www.cs.uu.nl/groups/MG/
103 | 
104 | ✎ Institute for Psychoacoustics and Electronic Music (IPEM)
105 | - Ghent University
106 | - Ghent, Belgium
107 | - https://www.ugent.be/lw/kunstwetenschappen/en/research-groups/musicology/ipem
108 | 
109 | ✎ MIR Group
110 | - University of Coimbra
111 | - Coimbra, Portugal
112 | - http://mir.dei.uc.pt/index.html
113 | 
114 | ---
115 | 
116 | ### 『北美地区』
117 | 
118 | ✎ Centre of Interdisciplinary Research in Music Media and Technology (CIRMMT)
119 | - McGill University
120 | - Montreal, Canada
121 | - http://www.cirmmt.org
122 | 
123 | ✎ Metacreation Lab
124 | - Simon Fraser University
125 | - Surrey, Canada
126 | - http://metacreation.net
127 | 
128 | ✎ Music Intelligence and Sound Technology Interdisciplinary Collective (MISTIC)
129 | - University of Victoria
130 | - Victoria, Canada
131 | - http://mistic.finearts.uvic.ca
132 | 
133 | ✎ Center for Computer Research in Music and Acoustics (CCRMA)
134 | - Stanford University
135 | - Standford, USA 
136 | - https://ccrma.stanford.edu
137 | 
138 | ✎ Music and Audio Research Laboratory (MARL)
139 | - New York University
140 | - New York City, USA
141 | - https://steinhardt.nyu.edu/marl/
142 | 
143 | ✎ Laboratory for the Recognition and Organization of Speech and Audio (LabROSA) 
144 | - Columbia University
145 | - New York City, USA
146 | - https://labrosa.ee.columbia.edu
147 | - 备注：项目已停，网站可查看以往工作
148 | 
149 | ✎ Georgia Tech Center for Music Technology (GTCMT)
150 | - Georgia Institute of Technology
151 | - Atlanta, USA
152 | - http://www.gtcmt.gatech.edu
153 | 
154 | ✎ Computer Music Project (CMP)
155 | - Carnegie Mellon University (CMU)
156 | - Pittsburgh, USA
157 | - http://www.cs.cmu.edu/%7Emusic/
158 | 
159 | ✎ Audio Information Research Laboratory (AIR)
160 | - University of Rochester
161 | - Rochester, USA
162 | - http://www2.ece.rochester.edu/projects/air/index.html
163 | 
164 | ✎ Soundlab 
165 | - Princeton University
166 | - Princeton, USA
167 | - http://soundlab.cs.princeton.edu
168 | - 备注：项目已停，网站可查看以往工作
169 | 
170 | ✎ Music and Entertainment Technology Laboratory (MET-lab)
171 | - Drexel University 
172 | - Philadelphia, USA
173 | - http://www.met-lab.org
174 | 
175 | ✎ Music Engineering
176 | - University of Miami
177 | - Coral Gables, USA
178 | - http://mue.music.miami.edu
179 | 
180 | ✎ Bregman Media Labs
181 | - Dartmouth College
182 | - Hanover, USA
183 | - http://bregman.dartmouth.edu
184 | 
185 | ✎ The Media Lab
186 | - Massachusetts Institute of Technology (MIT)
187 | - Cambridge, USA
188 | - https://www.media.mit.edu
189 | 
190 | ✎ Center for New Music and Audio Technologies (CNMAT)
191 | - UC Berkeley
192 | - Berkeley, USA
193 | - http://cnmat.berkeley.edu
194 | 
195 | ✎ Center for Research in Electronic Art Technology (CREATE)
196 | - UCSB
197 | - Santa Barbara, USA
198 | - http://www.create.ucsb.edu
199 | 
200 | ✎ Computer Music
201 | - UCSD
202 | - San Diego, USA
203 | - http://musicweb.ucsd.edu/grad/grad-pages.php?i=202
204 | 
205 | ---
206 | 
207 | ### 『亚洲地区』
208 | 
209 | ✎ Multimedia Information Retrieval Lab 
210 | - National Taiwan University, Taiwan
211 | - http://mirlab.org
212 | 
213 | ✎ Music and Audio Computing Lab (MAC)
214 | - Academia Sinica, Taiwan
215 | - http://mac.iis.sinica.edu.tw
216 | 
217 | ✎ Media Interaction Group 
218 | - National Institute of Advanced Industrial Science and Technology (AIST)
219 | - Japan
220 | - https://staff.aist.go.jp/m.goto/MIG/index-j.html
221 | - 备注：只招收博士后
222 | 
223 | ✎ Speech and Audio Processing Laboratory
224 | - Kyoto University
225 | - Japan
226 | - http://sap.ist.i.kyoto-u.ac.jp/EN/
227 | 
228 | ✎ Music and Audio Computing Lab
229 | - Korea Advanced Institute of Science and Technology
230 | - Korea
231 | - http://mac.kaist.ac.kr
232 | 
233 | ✎ Sound and Music Computing Lab
234 | - National University of Singapore
235 | - Singapore
236 | - https://www.smcnus.org
237 | 
238 | ✎ Music Cognition Group
239 | - Agency for Science, Technology and Research (A*STAR)
240 | - Singapore
241 | - https://www.a-star.edu.sg/ihpc/Research/Social-Cognitive-Computing-SCC/Music-Cognition/Overview-and-Recent-Highlights
242 | 
243 | ✎ Dr. Gus Xia(夏光宇)带领的人工音乐智能相关研究
244 | - 上海纽约大学
245 | - http://www.cs.cmu.edu/~gxia/
246 | 
247 | ✎ 李伟教授带领的音频音乐信息处理相关研究
248 | - 复旦大学
249 | - http://homepage.fudan.edu.cn/weili/
250 | 
251 | ---
252 | 
253 | ### 『最后』
254 | 
255 | 该行业在国内得益于全国声音与音乐技术会议（CSMT）的召开，使得学术界与工业界的朋友们可以借此互相交流，博主也有幸在天津大学读本科时，跟随关欣老师和梁晓晶学姐一起参加了2013年的第一届会议。
256 | 
257 | 会议官网上可下载往届报告集和论文集：
258 | 
259 | ➥ http://www.csmcw-csmt.cn/index.html
260 | 
261 | 最后再给自己打个小广告，博主预计在2019年8月左右博士毕业，所以欢迎音乐科技界内各位前辈的职位推荐，点击[这里](https://beiciliang.weebly.com/cv.html)可浏览我的英文简历，多谢！


--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
  1 | # intro2musictech
  2 | 
  3 | 公众号“无痛入门音乐科技”开源代码和相关资料链接，欢迎微信扫码关注或直接搜索intro2musictech！
  4 | 
  5 | <img src="https://github.com/beiciliang/intro2musictech/blob/master/attachment/qrcode.jpg" width="200">
  6 | 
  7 | **♬ 以后有新的公众号文章发布，其ipynb格式会在GitHub这里同步更新 ♬**
  8 | 
  9 | **♫ 方便读者在自己的电脑上一边阅读一边执行代码，快速入门，无痛skr ♫**
 10 | 
 11 | 更新日期 | 公众号文章链接 | GitHub代码链接               
 12 | -------- | ---------------------------------------- | ---------------------------------------------------------
 13 | 20180727 | [「README」无痛入门音乐科技门槛须知](https://mp.weixin.qq.com/s/S8Q5iSUMgKZQ5g-17dF8UA) | N/A
 14 | 20180728 | [「SETUP」从零设置编程环境](https://mp.weixin.qq.com/s/ngvmPl5S7QI-PqUUBtbQ3w) | 可直接浏览[下方内容](#从零设置编程环境)，附测试代码[00-Hello.ipynb](https://github.com/beiciliang/intro2musictech/blob/master/00-Hello.ipynb)
 15 | 20180803 | [「NIME-01」那些为身障人士设计的乐器](https://mp.weixin.qq.com/s/vUU30Ap5ot-Ygpy8eBeC4w) | N/A
 16 | 20180805 | [「MIR-01」要把音乐画出来，总共分几步？](https://mp.weixin.qq.com/s/pvpFoKKa0Ki_uZ3Y6rqaJw) | [MIR-01.ipynb](https://github.com/beiciliang/intro2musictech/blob/master/MIR-01.ipynb)
 17 | 20180811 | [「NIME-02」日常物件在没有成精的前提下如何发声儿？](https://mp.weixin.qq.com/s/X05DgjhXO7oMf8Gej5P3Mw) | N/A，可参考[The Bela Blog](http://blog.bela.io/)
 18 | 20180818 | [「MIR-02_1」音频特征小全之概览](https://mp.weixin.qq.com/s/oFrW7hmZgmAuZGIVHjZTAQ) | [MIR-02_1.ipynb](https://github.com/beiciliang/intro2musictech/blob/master/MIR-02_1.ipynb)
 19 | 20180822 | [「INFO」音乐科技相关科研组列表](https://mp.weixin.qq.com/s/2nDWikda9fh2x5o093F6HA) | 列表会在[这里](https://github.com/beiciliang/intro2musictech/blob/master/INFO-ResearchGroups.md)更新
 20 | 20180827 | [「NIME-03」为什么说钢琴是乐器之王？复杂！](https://mp.weixin.qq.com/s?__biz=MzU5MzY3NzI0OA==&mid=2247483718&idx=1&sn=fbf3f7c11e61096bafd72ea6ed0c0e8a&scene=19#wechat_redirect) | N/A，原知乎问题在[这里](https://www.zhihu.com/question/288614974)
 21 | 20180913 | [「MIR-02_2」音频特征小全之时域特征](https://mp.weixin.qq.com/s/fwbxA0ZWJPuOKolouQea3Q) | [MIR-02_2.ipynb](https://github.com/beiciliang/intro2musictech/blob/master/MIR-02_2.ipynb)
 22 | 20181014 | [「MIR-02_3」音频特征小全之频域特征](https://mp.weixin.qq.com/s/TOAXROVlOVYDmVlmFIyBxQ) | [MIR-02_3.ipynb](https://github.com/beiciliang/intro2musictech/blob/master/MIR-02_3.ipynb)
 23 | 20181124 | [「MIR-02_4」音频特征小全之乐音特征](https://mp.weixin.qq.com/s/XqZvZ4-m3xd81udyUSg4wg) | [MIR-02_4.ipynb](https://github.com/beiciliang/intro2musictech/blob/master/MIR-02_4.ipynb)
 24 | 20181130 | [「INFO」音乐科技相关会议期刊列表](https://mp.weixin.qq.com/s?__biz=MzU5MzY3NzI0OA==&mid=2247483761&idx=1&sn=52b81b9fca161df1afad2a8babad251a&scene=19#wechat_redirect) | N/A
 25 | 20181217 | [「INFO」2018年度那些亮眼的音乐科技成就](https://mp.weixin.qq.com/s/5FBzxHm1PcgBpHy6645JmA) | N/A
 26 | 20190218 | [「INFO」C4DM在ICASSP 2019的收录成果](https://mp.weixin.qq.com/s/RkcOyFf4eLIe512B37nmIw) | N/A
 27 | 20190819 | [「INFO」在C4DM读博是怎样一番体验？](https://mp.weixin.qq.com/s/N4p_jmsuY6RVuz1IjrSMeg) | N/A
 28 | 20191113 | [「MIR-02_4」音频特征小全之提取工具](http://mp.weixin.qq.com/s?__biz=MzU5MzY3NzI0OA==&mid=2247483792&idx=1&sn=38b07d6efff4523eecd78366f3e87962&chksm=fe0d9f3fc97a1629669c5875ea33a3b43878a2859e71a052c7c38b212127fea936e935e79c75#rd) | N/A
 29 | 20200112 | [「INFO」2019年度那些亮眼的音乐科技成就](http://mp.weixin.qq.com/s?__biz=MzU5MzY3NzI0OA==&mid=2247483802&idx=1&sn=9790d92e685baa74f28f3053c4ff15ef&chksm=fe0d9f35c97a1623fc305ce8c79b19e7451f5500d95b08c4fd5c27e47c8a256094c3e2022066#rd) | N/A
 30 | 20200307 | [「MIR-03」听歌识曲: 音乐宇宙里的占星师](http://mp.weixin.qq.com/s?__biz=MzU5MzY3NzI0OA==&mid=2247483818&idx=1&sn=db17b69603b98532f993f7f094248ce3&chksm=fe0d9f05c97a16139ee4114ed6890c8d99bd2c09210aa7ba0d085a2f44599e5cbd5a93375290#rd) | 可参考鲁霄在[知乎上的系列文章](https://zhuanlan.zhihu.com/p/75360272)
 31 | 20200314 | [「MIR-04」音乐推荐: 努力懂你的预言家](http://mp.weixin.qq.com/s?__biz=MzU5MzY3NzI0OA==&mid=2247483885&idx=1&sn=f9e4c9f71451575d1111e566943f4aff&chksm=fe0d9f42c97a16544b35edd490294e754e9e3cf48a13ca6585bcb7f58c02d0c1bf0222822793#rd) | N/A
 32 | 20200320 | [「MIR-05_0」震惊! AI发现这些歌竟然...](http://mp.weixin.qq.com/s?__biz=MzU5MzY3NzI0OA==&mid=2247483898&idx=1&sn=3a405119a32714442c8dcd9be830cdb9&chksm=fe0d9f55c97a1643a091acb7d6c25c14a8d19d107f9d430ffd9055a468f4d18c43666b2c260f#rd) | N/A
 33 | 20200430 | [「INFO」《音频音乐技术》正式出版](http://mp.weixin.qq.com/s?__biz=MzU5MzY3NzI0OA==&mid=2247483904&idx=1&sn=959fd70b768b9416a5065748ba6f5818&chksm=fe0d9cafc97a15b9c1123a30af34497d5e79e5b636a15a70ad169434ed5b0cf937f13ca87a7b#rd) | N/A
 34 | 20200516 | [「说得好听」EP7-音乐推荐算法的小秘密](http://mp.weixin.qq.com/s?__biz=MzU5MzY3NzI0OA==&mid=2247483914&idx=1&sn=1a474f9bdfb1c7981a461151737bb5e0&chksm=fe0d9ca5c97a15b36c77c5879d916cb7f2a56c62741c3490dd1c18c5f638231452e9929e398f#rd) | 小宇宙上的[播客链接](https://www.xiaoyuzhoufm.com/episode/5ebeec95418a84a0468f2ed5)
 35 | 20201008 | [「MIR-05_1」音乐流派自动识别的前世今生](http://mp.weixin.qq.com/s?__biz=MzU5MzY3NzI0OA==&mid=2247483923&idx=1&sn=2fe1ad96ba0b764888f28fdd88ce9e36&chksm=fe0d9cbcc97a15aa70632d73d3d7cafbc63d97027d8a9d1ecd7fee20212649d6b1fbde37c90f#rd) | N/A
 36 | 20210306 | [「INFO」2020年度那些亮眼的音乐科技成就](http://mp.weixin.qq.com/s?__biz=MzU5MzY3NzI0OA==&mid=2247483940&idx=1&sn=c6470c7b689da2882ee4fb6c43e1577c&chksm=fe0d9c8bc97a159d2c7734ab466b38d2d524f4e8e2ce87a2d54cf5303ae5c436eadbdd103b09#rd) | N/A
 37 | 20210604 | [「MIR-05_2」当音乐标签化身为音频Embedding时能解决什么？](http://mp.weixin.qq.com/s?__biz=MzU5MzY3NzI0OA==&mid=2247483954&idx=1&sn=7bdcc70838c0fc3d014cdedec91411b2&chksm=fe0d9c9dc97a158b31d11ec699d6e5ab53caf1897431cdf2f20f73ab67d885790b4a9361f055#rd) | arXiv上的[论文链接](https://arxiv.org/abs/2010.15389)
 38 | 20210806 | [「INFO」三分钟认识音乐科技](http://mp.weixin.qq.com/s?__biz=MzU5MzY3NzI0OA==&mid=2247483960&idx=1&sn=80ce28a10186dab81af2af239df76c8a&chksm=fe0d9c97c97a158114decdbdbe6cc6916c6c81f6fce9f9c52617fc6d0ea8738b9720efe8975a#rd) | 英文原版视频的[YouTube链接](https://www.youtube.com/watch?v=YgYV-7-ohxQ)
 39 | 20210904 | [「MIR-06」打破砂锅问到底，不同python库做音频预处理的区别在哪里？](http://mp.weixin.qq.com/s?__biz=MzU5MzY3NzI0OA==&mid=2247483966&idx=1&sn=f968b4f55595357afa8f6d483715262d&chksm=fe0d9c91c97a1587f42ce8e52d3cd4eec9ba49cad01680aead1b60d0918c134340ce75e3c469#rd) | TBC
 40 | 20221017 | [「INFO」从数据角度聊聊音乐版权版税](https://mp.weixin.qq.com/s?__biz=MzU5MzY3NzI0OA==&mid=2247483988&idx=1&sn=d5b6dfa1ab0e460f9abad915838f6e59&chksm=fe0d9cfbc97a15edff8b2f5ac49ca678350bc3af18d6558c6508499703e384f82bca36253ca8&scene=178&cur_album_id=1342444458121576448#rd) | N/A
 41 | 20230326 | [「INFO」分享我的MIR研发技术栈](https://mp.weixin.qq.com/s?__biz=MzU5MzY3NzI0OA==&mid=2247483994&idx=1&sn=3dfeefafc11c264106f448379052b42d&chksm=fe0d9cf5c97a15e30a5338b9031ae1741ea45856d234dc02d13ecc7723b5682a747f9c00de31&scene=178&cur_album_id=1342444458121576448#rd) | [B站视频链接](https://www.bilibili.com/video/BV1MX4y1R7cu/?share_source=copy_web&vd_source=9a7c2143e3aca83788929d6099a36f8f)
 42 | 
 43 | ---
 44 | 
 45 | ### 从零设置编程环境:
 46 | 
 47 | 以下内容适用于编程零基础的读者，如果你已经清楚如何`git clone`本项目，并能在一个基于Python 3的虚拟环境内安装Jupyter Notebook以及[requirements.txt](https://github.com/beiciliang/intro2musictech/blob/master/requirements.txt)中的第三方库之后，不报错地加载[00-Hello.ipynb](https://github.com/beiciliang/intro2musictech/blob/master/00-Hello.ipynb)并运行其中代码，恭喜你，编程环境配置成功！
 48 | 
 49 | 1. [命令行基础操作](#命令行)
 50 | 
 51 | 2. [Git用法](#git用法)
 52 | 
 53 | 3. [Anaconda设置环境](#anaconda设置环境)
 54 | 
 55 | 4. [用Jupyter Notebook运行Python代码](#用jupyter-notebook运行python)
 56 | 
 57 | 5. [如何退出](#如何退出)
 58 | 
 59 | 6. [后续工作](#后续工作)
 60 | 
 61 | ---
 62 | 
 63 | ### 『命令行』
 64 | 
 65 | 在计算机还没有酷炫的交互界面甚至连鼠标都没有的年代，人们通过命令行来操作程序，如果你学会了在命令行下如何操作，表面上能看起来像个黑客，实际上能大大加快操作速度。
 66 | 
 67 | 假如你是MacOS或Linux用户，博主希望你懂得如何使用终端(Terminal)；假如你是Windows用户，则希望你懂得如何使用命令窗口(Command Prompt)或PowerShell。**以下内容以在MacOS上操作为例！**
 68 | 
 69 | ✎ 打开命令行界面后，应该会看到一个白色或黑色的窗口，正等待着你的命令：
 70 | ```
 71 | HOSTNAME:~ USER$ 
 72 | ```
 73 | 
 74 | 其中`HOSTNAME`的部分指主机名，冒号后的`~`表示当前路径在根目录下，`USER`是用户名，最后`$`提示终端在等待你输入命令。本文将主要用到`ls` `cd` `pwd` `git` `conda` `pip` 这些命令。
 75 | 
 76 | ✎ 首先`ls`表示列出当前路径下的所有文件：
 77 | ```
 78 | HOSTNAME:~ USER$ ls
 79 | ```
 80 | 
 81 | 输入后回车，窗口中会返回所有文件和文件夹的名字。
 82 | 
 83 | ✎ 假设一个叫`Downloads`的文件夹在上述返回的名字列表中，进入这个文件夹需要`cd`：
 84 | ```
 85 | HOSTNAME:~ USER$ cd Downloads
 86 | ```
 87 | 
 88 | ✎ 回车后“当前路径”已经由`~`变成这个文件夹的位置，输入`pwd`可以再确认：
 89 | ```
 90 | HOSTNAME:Downloads USER$ pwd
 91 | ```
 92 | 
 93 | 回车后会显示当前路径为
 94 | ```
 95 | /Users/USER/Downloads
 96 | ```
 97 | 
 98 | ✎ 如果需要返回上一级目录，依然可以使用`cd`：
 99 | ```
100 | HOSTNAME:Downloads USER$ cd ..
101 | ```
102 | 
103 | 这些就是最最基本的命令行了！下面的部分会继续讲解其他命令行的用法，需要时刻注意路径是否正确，指令之间是否有空格分隔等等。
104 | 
105 | ---
106 | 
107 | ### 『Git用法』
108 | 
109 | Git即版本控制，是一种记录一个或若干文件内容变化，以便将来查阅特定版本修订情况的系统。程序员们用它才能最快发现到底是谁在什么时候删了一行不该删的代码。
110 | 
111 | 公众号涉及的代码都是由博主先在自己的电脑上通过git进行本地版本控制，再托管到Github这个可以让读者们看到的地方。如果有错误的地方，其他人也可以发起`pull request`来纠正，博主再`git merge`把别人的修改意见融到自己的代码中。
112 | 
113 | 
114 | ✎ 首先需要将Git安装在你的计算机上，安装指南[点击链接](https://git-scm.com/book/zh/v2/%E8%B5%B7%E6%AD%A5-%E5%AE%89%E8%A3%85-Git)
115 | 
116 | ✎ 其次，你需要一个GitHub账号，这也能方便将来对自己代码的托管。
117 | 
118 | ✎ 之后你可以通过Git命令行，将公众号的代码克隆到你的计算机上：
119 | ```
120 | HOSTNAME:~ USER$ git clone https://github.com/beiciliang/intro2musictech.git
121 | ```
122 | 
123 | 克隆完成后若在当前路径下输入`ls`，返回的名单中将包含`intro2musictech`。
124 | 
125 | 因为公众号的代码会随新文章的发布而增加更多内容，博主建议读者发现有新文章发布后通过`git pull`来同步更新。
126 | 
127 | ☞ 如果实在觉得各种git指令太晦涩，可通过GitHub Desktop软件进行版本控制。
128 | 
129 | ☞ 如果想更深入了解git和GitHub，英文好的读者可直接参考官方帮助文档，中文资料可参考[这里](https://github.com/xirong/my-git/blob/master/how-to-use-github.md)
130 | 
131 | ---
132 | 
133 | ### 『Anaconda设置环境』
134 | 
135 | 现在通过`ls`查看一下`intro2musictech`文件夹里都有哪些东东:
136 | 
137 | ```
138 | HOSTNAME:~ USER$ ls intro2musictech
139 | ```
140 | 
141 | 其中`attachment`文件夹里包含一些音乐素材和图片，以`.ipynb`为后缀的文件都是Jupyter Notebook，重点是`requirements.txt`中所有的Python库，成功安装这些才能确保今后所有`.ipynb`中的Python代码能跑起来。
142 | 
143 | 不过首先需要解决的大事儿是，如何安装Python？
144 | 
145 | 我们可借助Anaconda，即一个预装了很多我们用的到或用不到的第三方库的Python。
146 | 
147 | ✎ 首先去官网根据自己系统的型号，下载**Anaconda3**并安装，但是国内的同学也许会发现官网下载太慢，这种情况可从国内清华大学开源软件镜像站进行下载并配置镜像:
148 | 
149 | ☞ [官方下载链接](https://www.anaconda.com/download/)
150 | 
151 | ☞ [清华大学镜像站](https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/)
152 | 
153 | ✎ 安装过程中，建议勾选把Anaconda加入环境变量，并设置Anaconda所带的Python 3.6为系统默认的Python版本，不过这些步骤不做问题也不大，反正之后我们要建立一个新的Python 3.7虚拟环境！
154 | 
155 | **另**，建议国内读者通过镜像成功安装Anaconda之后，修改其包管理镜像为国内源，即运行下方两个命令行：
156 | 
157 | ```
158 | $ conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
159 | $ conda config --set show_channel_urls yes
160 | ```
161 | 
162 | ✎ 安装Anaconda后，用它建立虚拟环境可以指定要安装在环境中的Python版本和第三方库，避免在自己的电脑上瞎安装/起冲突/费时间，这对需要同时用Python版本2和3的程序员非常有必要！
163 | 
164 | ✎ 下面的命令行将一步步带领读者走向成功的一半！
165 | 
166 | 1. 先用`conda`在全局下安装些notebook的拓展包：
167 | ```
168 | $ conda install nb_conda
169 | $ conda install -c conda-forge jupyter_nbextensions_configurator
170 | ```
171 | 
172 | 2. 建立一个名字为`py37`的环境，该环境下Python版本为3.7，并安装`ipykernel`这个库也就顺便将Jupyther Notebook安装到`py37`环境中：
173 | ```
174 | $ conda create -n py37 python=3.7 ipykernel
175 | ```
176 | 
177 | 3. 激活`py37`环境：
178 | ```
179 | $ source activate py37
180 | ```
181 | 
182 | 激活后可见命令行开头有括号提示你已经在括号内显示的虚拟环境中。
183 | 
184 | 4. 在该虚拟环境下用`pip`安装其他第三方库（先升级下`pip`）：
185 | ```
186 | (py37)$ pip install --upgrade pip
187 | (py37)$ pip install numpy scipy matplotlib librosa scikit-learn
188 | ```
189 | 
190 | **另**，这些库也可通过指令`pip install -r requirements.txt`来安装，注意除非当前路径与该txt文件相同，否则要在指令中声明txt所在的具体路径！
191 | 
192 | 对于第三方库的安装，用`pip`或`conda`其实没有大区别，但博主一般会参考这个库本身建议哪种方式最简单。
193 | 
194 | 5. 此时你可通过`conda list`指令来查看`py37`环境下具体成功安装上了哪些库。
195 | 
196 | 6. 若想退出虚拟环境，可直接输入`source deactivate`后回车，不过为了最后关于Notebook的环节，暂且先不要退出！
197 | 
198 | **对于完全不想安装anaconda，只想用`pip`掌控大权的读者**：
199 | 
200 | 创建虚拟环境的时候就需要用其他如[virtualenv](https://virtualenv.pypa.io/en/stable/)的辅助，在创建并激活进入到虚拟环境后：
201 | ```
202 | (py37)$ pip install --upgrade pip
203 | (py37)$ pip install ipykernel
204 | (py37)$ ipython kernel install --user --name=py37
205 | (py37)$ pip install -r requirements.txt
206 | ```
207 | 
208 | 在以上设置完成后才能确保`py37`中的Python 3内核将被Notebook正确调用。
209 | 
210 | ---
211 | 
212 | ### 『用Jupyter Notebook运行Python』
213 | 
214 | Jupyter Notebook本身是一种网页端应用，能让用户将说明文本、数学方程、代码和可视化内容全部组合到一个易于共享的文档中。
215 | 
216 | ✎ 现在我们在`py37`虚拟环境下直接用命令行打开该应用：
217 | ```
218 | (py37)$ jupyter notebook
219 | ```
220 | 
221 | 此时你的浏览器应该会直接弹出一个新页面，你也可以粘贴命令行返回的URL链接，拷贝到浏览器中打开应用。
222 | 
223 | ✎ 点击页面右侧的`New`并选择`Python [conda env:py37]`可新建一个基于该虚拟环境的Notebook。
224 | 
225 | ✎ 现在我们回到之前的页面，进入`intro2musictech`文件夹后打开`00-Hello.ipynb`。
226 | 
227 | ✎ 读者也可直接浏览[00-Hello.ipynb](https://github.com/beiciliang/intro2musictech/blob/master/00-Hello.ipynb)的内容。
228 | 
229 | ✎ 其中简要介绍了Notebook在跑Python代码时的妙用，你会用它加载一段音频后听到猫叫，并画出波形！
230 | 
231 | ---
232 | 
233 | ### 『如何退出』
234 | 
235 | ✎ 关闭Notebook不仅仅要关闭浏览器页面，在其运行的命令行界面，要通过两次`CTRL+C`中止程序。
236 | 
237 | ✎ 通过`source deactivate`命令行退出当前虚拟环境。
238 | 
239 | ✎ 以后若需要再次激活某个虚拟环境但不巧忘了其名字，可通过`conda env list`指令来查询。
240 | 
241 | ✎ 慎重！如果对这个`py37`虚拟环境不爽，可以用`conda env remove -n py37`彻底删除。
242 | 
243 | ---
244 | 
245 | ### 『后续工作』
246 | 
247 | 假设上述所有步骤都能成功执行，那么一旦有新文章时，读者可以在自己的电脑上获取更新后查看最新的Notebook，大致流程如下：
248 | ```
249 | $ cd intro2musictech
250 | $ git pull
251 | $ source activate py37
252 | (py37)$ jupyter notebook
253 | ```
254 | 
255 | 


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1 | numpy==1.15.0
2 | scipy==1.1.0
3 | matplotlib==2.2.2
4 | librosa==0.6.1
5 | scikit-learn==0.19.2


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