Python for Scientific Audio
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The aim of this repository is to create a comprehensive, curated list of python software/tools related and used for scientific research in audio/music applications.

Contents

⟡ Audio Related Packages (#audio-related-packages)
- **Read/Write** (#read-write)                                                  
- **Transformations - General DSP** (#transformations---general-dsp)            
- **Feature extraction** (#feature-extraction)                                  
- **Data augmentation** (#data-augmentation)                                    
- **Speech Processing** (#speech-processing)                                    
- **Environmental Sounds** (#environmenta)                                      
- **Perceptial Models - Auditory Models** (#perceptial-models---auditory-models)
- **Source Separation** (#source-separation)                                    
- **Music Information Retrieval** (#music-information-retrieval)                
- **Deep Learning** (#deep-learning)                                            
- **Symbolic Music - MIDI - Musicology** (#symbolic-music---midi---musicology)  
- **Realtime applications** (#realtime-applications)                            
- **Web - Audio** (#web-audio)                                                  
- **Audio related APIs and Datasets** (#audio-related-apis-and-datasets)        
- **Wrappers for Audio Plugins** (#wrappers-for-audio-plugins)                  
⟡ Tutorials (#tutorials)
⟡ Books (#books)
⟡ Scientific Paper (#scientific-papers)
⟡ Other Resources (#other-resources)
⟡ Related lists (#related-lists)
⟡ Contributing (#contributing)
⟡ License (#license)


Audio Related Packages

- Total number of packages: 66

Read-Write

⟡ audiolazy (https://github.com/danilobellini/audiolazy) :octocat: (https://github.com/danilobellini/audiolazy) :package: (https://pypi.python.org/pypi/audiolazy/) - Expressive Digital Signal Processing (DSP) 
package for Python.
⟡ audioread (https://github.com/beetbox/audioread) :octocat: (https://github.com/beetbox/audioread) :package: (https://pypi.python.org/pypi/audioread/) - Cross-library (GStreamer + Core Audio + MAD + FFmpeg) 
audio decoding.
⟡ mutagen (https://mutagen.readthedocs.io/) :octocat: (https://github.com/quodlibet/mutagen) :package: (https://pypi.python.org/pypi/mutagen) - Reads and writes all kind of audio metadata for various formats.
⟡ pyAV (http://docs.mikeboers.com/pyav/) :octocat: (https://github.com/mikeboers/PyAV) - PyAV is a Pythonic binding for FFmpeg or Libav.
⟡ (Py)Soundfile (http://pysoundfile.readthedocs.io/) :octocat: (https://github.com/bastibe/PySoundFile) :package: (https://pypi.python.org/pypi/SoundFile) - Library based on libsndfile, CFFI, and NumPy.
⟡ pySox (https://github.com/rabitt/pysox) :octocat: (https://github.com/rabitt/pysox) :package: (https://pypi.python.org/pypi/pysox/) - Wrapper for sox.
⟡ stempeg (https://github.com/faroit/stempeg) :octocat: (https://github.com/faroit/stempeg) :package: (https://pypi.python.org/pypi/stempeg/) - read/write of STEMS multistream audio.
⟡ tinytag (https://github.com/devsnd/tinytag) :octocat: (https://github.com/devsnd/tinytag) :package: (https://pypi.python.org/pypi/tinytag/) - reading music meta data of MP3, OGG, FLAC and Wave files.

Transformations - General DSP

⟡ acoustics (http://python-acoustics.github.io/python-acoustics/) :octocat: (https://github.com/python-acoustics/python-acoustics/) :package: (https://pypi.python.org/pypi/acoustics) - useful tools for 
acousticians.
⟡ AudioTK (https://github.com/mbrucher/AudioTK) :octocat: (https://github.com/mbrucher/AudioTK) - DSP filter toolbox (lots of filters).
⟡ AudioTSM (https://audiotsm.readthedocs.io/) :octocat: (https://github.com/Muges/audiotsm) :package: (https://pypi.python.org/pypi/audiotsm/) - real-time audio time-scale modification procedures.
⟡ Gammatone (https://github.com/detly/gammatone) :octocat: (https://github.com/detly/gammatone) - Gammatone filterbank implementation.
⟡ pyFFTW (http://pyfftw.github.io/pyFFTW/) :octocat: (https://github.com/pyFFTW/pyFFTW) :package: (https://pypi.python.org/pypi/pyFFTW/) - Wrapper for FFTW(3).
⟡ NSGT (https://grrrr.org/research/software/nsgt/) :octocat: (https://github.com/grrrr/nsgt) :package: (https://pypi.python.org/pypi/nsgt) - Non-stationary gabor transform, constant-q.
⟡ matchering (https://github.com/sergree/matchering) :octocat: (https://github.com/sergree/matchering) :package: (https://pypi.org/project/matchering/) - Automated reference audio mastering.
⟡ MDCT (https://github.com/nils-werner/mdct) :octocat: (https://github.com/nils-werner/mdct) :package: (https://pypi.python.org/pypi/mdct) - MDCT transform.
⟡ pydub (http://pydub.com) :octocat: (https://github.com/jiaaro/pydub) :package: (https://pypi.python.org/pypi/mdct) - Manipulate audio with a simple and easy high level interface.
⟡ pytftb (http://tftb.nongnu.org) :octocat: (https://github.com/scikit-signal/pytftb) - Implementation of the MATLAB Time-Frequency Toolbox.
⟡ pyroomacoustics (https://github.com/LCAV/pyroomacoustics) :octocat: (https://github.com/LCAV/pyroomacoustics) :package: (https://pypi.python.org/pypi/pyroomacoustics) - Room Acoustics Simulation (RIR 
generator)
⟡ PyRubberband (https://github.com/bmcfee/pyrubberband) :octocat: (https://github.com/bmcfee/pyrubberband) :package: (https://pypi.python.org/pypi/pyrubberband/) - Wrapper for rubberband 
(http://breakfastquay.com/rubberband/) to do pitch-shifting and time-stretching.
⟡ PyWavelets (http://pywavelets.readthedocs.io) :octocat: (https://github.com/PyWavelets/pywt) :package: (https://pypi.python.org/pypi/PyWavelets) - Discrete Wavelet Transform in Python.
⟡ Resampy (http://resampy.readthedocs.io) :octocat: (https://github.com/bmcfee/resampy) :package: (https://pypi.python.org/pypi/resampy) - Sample rate conversion.
⟡ SFS-Python (http://www.sfstoolbox.org) :octocat: (https://github.com/sfstoolbox/sfs-python) :package: (https://pypi.python.org/pypi/sfs/) - Sound Field Synthesis Toolbox.
⟡ sound_field_analysis (https://appliedacousticschalmers.github.io/sound_field_analysis-py/) :octocat: (https://github.com/AppliedAcousticsChalmers/sound_field_analysis-py) :package: 
(https://pypi.org/project/sound-field-analysis/) - Analyze, visualize and process sound field data recorded by spherical microphone arrays.
⟡ STFT (http://stft.readthedocs.io) :octocat: (https://github.com/nils-werner/stft) :package: (https://pypi.python.org/pypi/stft) - Standalone package for Short-Time Fourier Transform.

Feature extraction

⟡ aubio (http://aubio.org/) :octocat: (https://github.com/aubio/aubio) :package: (https://pypi.python.org/pypi/aubio) - Feature extractor, written in C, Python interface.
⟡ audioFlux (https://github.com/libAudioFlux/audioFlux) :octocat: (https://github.com/libAudioFlux/audioFlux) :package: (https://pypi.python.org/pypi/audioflux) - A library for audio and music analysis, feature 
extraction.
⟡ audiolazy (https://github.com/danilobellini/audiolazy) :octocat: (https://github.com/danilobellini/audiolazy) :package: (https://pypi.python.org/pypi/audiolazy/) - Realtime Audio Processing lib, general 
purpose.
⟡ essentia (http://essentia.upf.edu) :octocat: (https://github.com/MTG/essentia) - Music related low level and high level feature extractor, C++ based, includes Python bindings.
⟡ python_speech_features (https://github.com/jameslyons/python_speech_features) :octocat: (https://github.com/jameslyons/python_speech_features) :package: (https://pypi.python.org/pypi/python_speech_features) - 
Common speech features for ASR.
⟡ pyYAAFE (https://github.com/Yaafe/Yaafe) :octocat: (https://github.com/Yaafe/Yaafe) - Python bindings for YAAFE feature extractor.
⟡ speechpy (https://github.com/astorfi/speechpy) :octocat: (https://github.com/astorfi/speechpy) :package: (https://pypi.python.org/pypi/speechpy) - Library for Speech Processing and Recognition, mostly feature 
extraction for now.
⟡ spafe (https://github.com/SuperKogito/spafe) :octocat: (https://github.com/SuperKogito/spafe) :package: (https://pypi.org/project/spafe/) - Python library for features extraction from audio files.

Data augmentation

⟡ audiomentations (https://github.com/iver56/audiomentations) :octocat: (https://github.com/iver56/audiomentations) :package: (https://pypi.org/project/audiomentations/) -  Audio Data Augmentation.
⟡ muda (https://muda.readthedocs.io/en/latest/) :octocat: (https://github.com/bmcfee/muda) :package: (https://pypi.python.org/pypi/muda) -  Musical Data Augmentation.
⟡ pydiogment (https://github.com/SuperKogito/pydiogment) :octocat: (https://github.com/SuperKogito/pydiogment) :package: (https://pypi.org/project/pydiogment/) -  Audio Data Augmentation.

Speech Processing

⟡ aeneas (https://www.readbeyond.it/aeneas/) :octocat: (https://github.com/readbeyond/aeneas/) :package: (https://pypi.python.org/pypi/aeneas/) - Forced aligner, based on MFCC+DTW, 35+ languages.
⟡ deepspeech (https://github.com/mozilla/DeepSpeech) :octocat: (https://github.com/mozilla/DeepSpeech) :package: (https://pypi.org/project/deepspeech/) - Pretrained automatic speech recognition.
⟡ gentle (https://github.com/lowerquality/gentle) :octocat: (https://github.com/lowerquality/gentle) - Forced-aligner built on Kaldi.
⟡ Parselmouth (https://github.com/YannickJadoul/Parselmouth) :octocat: (https://github.com/YannickJadoul/Parselmouth) :package: (https://pypi.org/project/praat-parselmouth/) - Python interface to the Praat 
(http://www.praat.org) phonetics and speech analysis, synthesis, and manipulation software.
⟡ persephone (https://persephone.readthedocs.io/en/latest/) :octocat: (https://github.com/persephone-tools/persephone) :package: (https://pypi.org/project/persephone/) - Automatic phoneme transcription tool.
⟡ pyannote.audio (https://github.com/pyannote/pyannote-audio) :octocat: (https://github.com/pyannote/pyannote-audio) :package: (https://pypi.org/project/pyannote-audio/) - Neural building blocks for speaker 
diarization.
⟡ pyAudioAnalysis (https://github.com/tyiannak/pyAudioAnalysis)² :octocat: (https://github.com/tyiannak/pyAudioAnalysis) :package: (https://pypi.python.org/pypi/pyAudioAnalysis/) - Feature Extraction, 
Classification, Diarization.
⟡ py-webrtcvad (https://github.com/wiseman/py-webrtcvad) :octocat: (https://github.com/wiseman/py-webrtcvad) :package: (https://pypi.python.org/pypi/webrtcvad/) -  Interface to the WebRTC Voice Activity 
Detector.
⟡ pypesq (https://github.com/vBaiCai/python-pesq) :octocat: (https://github.com/vBaiCai/python-pesq) - Wrapper for the PESQ score calculation.
⟡ pystoi (https://github.com/mpariente/pystoi) :octocat: (https://github.com/mpariente/pystoi) :package: (https://pypi.org/project/pystoi) - Short Term Objective Intelligibility measure (STOI).
⟡ PyWorldVocoder (https://github.com/JeremyCCHsu/Python-Wrapper-for-World-Vocoder) :octocat: (https://github.com/JeremyCCHsu/Python-Wrapper-for-World-Vocoder) - Wrapper for Morise's World Vocoder.
⟡ Montreal Forced Aligner (https://montrealcorpustools.github.io/Montreal-Forced-Aligner/) :octocat: (https://github.com/MontrealCorpusTools/Montreal-Forced-Aligner) - Forced aligner, based on Kaldi (HMM), 
English (others can be trained).
⟡ SIDEKIT (http://lium.univ-lemans.fr/sidekit/) :package: (https://pypi.python.org/pypi/SIDEKIT/) - Speaker and Language recognition.
⟡ SpeechRecognition (https://github.com/Uberi/speech_recognition) :octocat: (https://github.com/Uberi/speech_recognition) :package: (https://pypi.python.org/pypi/SpeechRecognition/) -  Wrapper for several ASR 
engines and APIs, online and offline.

Environmental Sounds

⟡ sed_eval (http://tut-arg.github.io/sed_eval) :octocat: (https://github.com/TUT-ARG/sed_eval) :package: (https://pypi.org/project/sed_eval/) - Evaluation toolbox for Sound Event Detection

Perceptial Models - Auditory Models

⟡ cochlea (https://github.com/mrkrd/cochlea) :octocat: (https://github.com/mrkrd/cochlea) :package: (https://pypi.python.org/pypi/cochlea/) - Inner ear models.
⟡ Brian2 (http://briansimulator.org/) :octocat: (https://github.com/brian-team/brian2) :package: (https://pypi.python.org/pypi/Brian2) - Spiking neural networks simulator, includes cochlea model.
⟡ Loudness (https://github.com/deeuu/loudness) :octocat: (https://github.com/deeuu/loudness) - Perceived loudness, includes Zwicker, Moore/Glasberg model.
⟡ pyloudnorm (https://www.christiansteinmetz.com/projects-blog/pyloudnorm) :octocat: (https://github.com/csteinmetz1/pyloudnorm) - Audio loudness meter and normalization, implements ITU-R BS.1770-4.
⟡ Sound Field Synthesis Toolbox (http://www.sfstoolbox.org) :octocat: (https://github.com/sfstoolbox/sfs-python) :package: (https://pypi.python.org/pypi/sfs/) - Sound Field Synthesis Toolbox.

Source Separation

⟡ commonfate (https://github.com/aliutkus/commonfate) :octocat: (https://github.com/aliutkus/commonfate) :package: (https://pypi.python.org/pypi/commonfate) - Common Fate Model and Transform.
⟡ NTFLib (https://github.com/stitchfix/NTFLib) :octocat: (https://github.com/stitchfix/NTFLib) - Sparse Beta-Divergence Tensor Factorization.
⟡ NUSSL (https://interactiveaudiolab.github.io/project/nussl.html) :octocat: (https://github.com/interactiveaudiolab/nussl) :package: (https://pypi.python.org/pypi/nussl) - Holistic source separation framework 
including DSP methods and deep learning methods.
⟡ NIMFA (http://nimfa.biolab.si) :octocat: (https://github.com/marinkaz/nimfa) :package: (https://pypi.python.org/pypi/nimfa) - Several flavors of non-negative-matrix factorization.

Music Information Retrieval

⟡ Catchy (https://github.com/jvbalen/catchy) :octocat: (https://github.com/jvbalen/catchy) - Corpus Analysis Tools for Computational Hook Discovery.
⟡ chord-detection (https://github.com/sevagh/chord-detection) :octocat: (https://github.com/sevagh/chord-detection) - Algorithms for chord detection and key estimation.
⟡ Madmom (https://madmom.readthedocs.io/en/latest/) :octocat: (https://github.com/CPJKU/madmom) :package: (https://pypi.python.org/pypi/madmom) - MIR packages with strong focus on beat detection, onset detection
and chord recognition.
⟡ mir_eval (http://craffel.github.io/mir_eval/) :octocat: (https://github.com/craffel/mir_eval) :package: (https://pypi.python.org/pypi/mir_eval) - Common scores for various MIR tasks. Also includes bss_eval 
implementation.
⟡ msaf (http://pythonhosted.org/msaf/) :octocat: (https://github.com/urinieto/msaf) :package: (https://pypi.python.org/pypi/msaf) - Music Structure Analysis Framework.
⟡ librosa (http://librosa.github.io/librosa/) :octocat: (https://github.com/librosa/librosa) :package: (https://pypi.python.org/pypi/librosa) - General audio and music analysis.

Deep Learning

⟡ Kapre (https://github.com/keunwoochoi/kapre) :octocat: (https://github.com/keunwoochoi/kapre) :package: (https://pypi.python.org/pypi/kapre) - Keras Audio Preprocessors
⟡ TorchAudio (https://github.com/pytorch/audio) :octocat: (https://github.com/pytorch/audio) - PyTorch Audio Loaders
⟡ nnAudio (https://github.com/KinWaiCheuk/nnAudio) :octocat: (https://github.com/KinWaiCheuk/nnAudio) :package: (https://pypi.org/project/nnAudio/) - Accelerated audio processing using 1D convolution networks in
PyTorch.

Symbolic Music - MIDI - Musicology

⟡ Music21 (http://web.mit.edu/music21/) :octocat: (https://github.com/cuthbertLab/music21) :package: (https://pypi.python.org/pypi/music21) - Toolkit for Computer-Aided Musicology.
⟡ Mido (https://mido.readthedocs.io/en/latest/) :octocat: (https://github.com/olemb/mido) :package: (https://pypi.python.org/pypi/mido) - Realtime MIDI wrapper.
⟡ mingus (https://github.com/bspaans/python-mingus) :octocat: (https://github.com/bspaans/python-mingus) :package: (https://pypi.org/project/mingus) - Advanced music theory and notation package with MIDI file 
and playback support.
⟡ Pretty-MIDI (http://craffel.github.io/pretty-midi/) :octocat: (https://github.com/craffel/pretty-midi) :package: (https://pypi.python.org/pypi/pretty-midi) - Utility functions for handling MIDI data in a 
nice/intuitive way.

Realtime applications

⟡ Jupylet (https://github.com/nir/jupylet) :octocat: (https://github.com/nir/jupylet) - Subtractive, additive, FM, and sample-based sound synthesis.
⟡ PYO (http://ajaxsoundstudio.com/software/pyo/) :octocat: (https://github.com/belangeo/pyo) - Realtime audio dsp engine.
⟡ python-sounddevice (https://github.com/spatialaudio/python-sounddevice) :octocat: (http://python-sounddevice.readthedocs.io) :package: (https://pypi.python.org/pypi/sounddevice) - PortAudio wrapper providing 
realtime audio I/O with NumPy.
⟡ ReTiSAR (https://github.com/AppliedAcousticsChalmers/ReTiSAR) :octocat: (https://github.com/AppliedAcousticsChalmers/ReTiSAR) - Binarual rendering of streamed or IR-based high-order spherical microphone array 
signals.

Web Audio

⟡ TimeSide (Beta) (https://github.com/Parisson/TimeSide/tree/dev) :octocat: (https://github.com/Parisson/TimeSide/tree/dev) - high level audio analysis, imaging, transcoding, streaming and labelling.

Audio Dataset and Dataloaders

⟡ beets (http://beets.io/) :octocat: (https://github.com/beetbox/beets) :package: (https://pypi.python.org/pypi/beets) - Music library manager and MusicBrainz (https://musicbrainz.org/) tagger.
⟡ musdb (http://dsdtools.readthedocs.io) :octocat: (https://github.com/sigsep/sigsep-mus-db) :package: (https://pypi.python.org/pypi/musdb) - Parse and process the MUSDB18 dataset.
⟡ medleydb (http://medleydb.readthedocs.io) :octocat: (https://github.com/marl/medleydb) - Parse medleydb (http://medleydb.weebly.com/) audio + annotations.
⟡ Soundcloud API (https://github.com/soundcloud/soundcloud-python) :octocat: (https://github.com/soundcloud/soundcloud-python) :package: (https://pypi.python.org/pypi/soundcloud) - Wrapper for Soundcloud API 
(https://developers.soundcloud.com/).
⟡ Youtube-Downloader (http://rg3.github.io/youtube-dl/) :octocat: (https://github.com/rg3/youtube-dl) :package: (https://pypi.python.org/pypi/youtube_dl) - Download youtube videos (and the audio).
⟡ audiomate (https://github.com/ynop/audiomate) :octocat: (https://github.com/ynop/audiomate) :package: (https://pypi.python.org/pypi/audiomate/) - Loading different types of audio datasets.
⟡ mirdata (https://mirdata.readthedocs.io/en/latest/) :octocat: (https://github.com/mir-dataset-loaders/mirdata) :package: (https://pypi.python.org/pypi/mirdata) - Common loaders for Music Information Retrieval 
(MIR) datasets.
Wrappers for Audio Plugins

⟡ VamPy Host (https://code.soundsoftware.ac.uk/projects/vampy-host) :package: (https://pypi.python.org/pypi/vamp) - Interface compiled vamp plugins.

Tutorials

⟡ Whirlwind Tour Of Python (https://jakevdp.github.io/WhirlwindTourOfPython/) :octocat: (https://github.com/jakevdp/WhirlwindTourOfPython
) - fast-paced introduction to Python essentials, aimed at researchers and developers.
⟡ Introduction to Numpy and Scipy (http://www.scipy-lectures.org/index.html) :octocat: (https://github.com/scipy-lectures/scipy-lecture-notes) - Highly recommended tutorial, covers large parts of the scientific 
Python ecosystem.
⟡ Numpy for MATLAB® Users (https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html) - Short overview of equivalent python functions for switchers.
⟡ MIR Notebooks (http://musicinformationretrieval.com/) :octocat: (https://github.com/stevetjoa/stanford-mir) - collection of instructional iPython Notebooks for music information retrieval (MIR).
⟡ Selected Topics in Audio Signal Processing ( https://github.com/spatialaudio/selected-topics-in-audio-signal-processing-exercises) - Exercises as iPython notebooks.
⟡ Live-coding a music synthesizer (https://www.youtube.com/watch?v=SSyQ0kRHzis) Live-coding video showing how to use the SoundDevice library to reproduce realistic sounds. Code 
(https://github.com/cool-RR/python_synthesizer).

Books

⟡ Python Data Science Handbook (https://github.com/jakevdp/PythonDataScienceHandbook) - Jake Vanderplas, Excellent Book and accompanying tutorial notebooks.
⟡ Fundamentals of Music Processing (https://www.audiolabs-erlangen.de/fau/professor/mueller/bookFMP) - Meinard Müller, comes with Python exercises.

Scientific Papers

⟡ Python for audio signal processing (http://eprints.maynoothuniversity.ie/4115/1/40.pdf) - John C. Glover, Victor Lazzarini and Joseph Timoney, Linux Audio Conference 2011.
⟡ librosa: Audio and Music Signal Analysis in Python (http://conference.scipy.org/proceedings/scipy2015/pdfs/brian_mcfee.pdf), Video (https://www.youtube.com/watch?v=MhOdbtPhbLU) - Brian McFee, Colin Raffel, 
Dawen Liang, Daniel P.W. Ellis, Matt McVicar, Eric Battenberg, Oriol Nieto, Scipy 2015.
⟡ pyannote.audio: neural building blocks for speaker diarization (https://arxiv.org/abs/1911.01255), Video (https://www.youtube.com/watch?v=37R_R82lfwA) - Hervé Bredin, Ruiqing Yin, Juan Manuel Coria, Gregory 
Gelly, Pavel Korshunov, Marvin Lavechin, Diego Fustes, Hadrien Titeux, Wassim Bouaziz, Marie-Philippe Gill, ICASSP 2020.

Other Resources

⟡ Coursera Course (https://www.coursera.org/learn/audio-signal-processing) -  Audio Signal Processing, Python based course from UPF of Barcelona and Stanford University.
⟡ Digital Signal Processing Course (http://dsp-nbsphinx.readthedocs.io/en/nbsphinx-experiment/index.html) - Masters Course Material (University of Rostock) with many Python examples.
⟡ Slack Channel (https://mircommunity.slack.com) - Music Information Retrieval Community.

Related lists

There is already PythonInMusic (https://wiki.python.org/moin/PythonInMusic) but it is not up to date and includes too many packages of special interest that are mostly not relevant for scientific applications. 
Awesome-Python (https://github.com/vinta/awesome-python) is large curated list of python packages. However, the audio section is very small.

Contributing

Your contributions are always welcome! Please take a look at the contribution guidelines (CONTRIBUTING.md) first.

I will keep some pull requests open if I'm not sure whether those libraries are awesome, you could vote for them by adding 👍 to them.

License

!License: CC BY 4.0 (https://img.shields.io/badge/License-CC%20BY%204.0-lightgrey.svg) (https://creativecommons.org/licenses/by/4.0/)