View source for Music : Audio Analysis, Synchronization, And More


= Audio Analysis   =
== Libraries ==

=== MadMom ===

'''Links'''

* Source code : https://github.com/CPJKU/madmom

Madmom is an audio signal processing library written in Python with a strong focus on music information retrieval (MIR) tasks.

''''Features'''
* core: signal, filters, comb_filters, stft, spectrogram, cepstrogram, chroma, hpss
* features: beats, beats_crf, beats_hmm, chords, downbeats, key, notes, onsets, tempo
* io : files, music files, midi
* machine learning: crf, gmm, hmm, nn
* Various utils

=== PyAudio ===

PyAudio provides Python bindings for PortAudio, the cross-platform audio I/O library. With PyAudio, you can easily use Python to play and record audio on a variety of platforms, such as GNU/Linux, Microsoft Windows, and Apple Mac OS X / macOS.

'''Links''' 
* Homepage https://people.csail.mit.edu/hubert/pyaudio/
* Documentation https://madmom.readthedocs.io/en/latest/


'''Features''' 
* Read and play audio

=== Aubio ===

'''Links''' 
* Project Homepage https://aubio.org/
* Github https://github.com/aubio/aubio

aubio is a tool designed for the extraction of annotations from audio signals.

'''Features''' 
*  segmenting a sound file before each of its attacks, 
* performing pitch detection, 
* tapping the beat 
* producing midi streams from live audio.



=== pyAudioAnalysis ===

'''Links''' 
* Gihtub https://github.com/tyiannak/pyAudioAnalysis

A Python library for audio feature extraction, classification, segmentation and applications


'''Features'''
* Extract audio features and representations (e.g. mfccs, spectrogram, chromagram)
* Classify unknown sounds
* Train, parameter tune and evaluate classifiers of audio segments
* Detect audio events and exclude silence periods from long recordings
* Perform supervised segmentation (joint segmentation - classification)
* Perform unsupervised segmentation (e.g. speaker diarization)
* Extract audio thumbnails
* Train and use audio regression models (example application: emotion recognition)
* Apply dimensionality reduction to visualize audio data and content similarities

== Examples & tutorials & learning material ==

=== musicinformationretrieval.com ===


'''Links'''
* https://github.com/stevetjoa/musicinformationretrieval.com

Many examples about analyzing audio and doing Machine Learning with it

= Clock Synchronization Libraries   =

=== PyBeatSync ===

PyBeatSync is a python project that uses the madmom audio and music analysis library to cary out beat detection from a live audio stream and generate a syncronised beat response.

'''Links'''
Source Code : https://github.com/louischaman/PyBeatSync

= Internal projects =

== Pad ==
https://pads.usinette.org/p/sync-music