Difference between revisions of "Music : Audio Analysis, Synchronization, And More"
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| − | + | = 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 === | === Aubio === | ||
| − | aubio is a tool designed for the extraction of annotations from audio signals. | + | '''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 | A Python library for audio feature extraction, classification, segmentation and applications | ||
| − | https://github.com/ | + | |
| + | '''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 | ||
Latest revision as of 15:42, 12 June 2019
Contents
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
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
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
