Difference between revisions of "Music : Audio Analysis, Synchronization, And More"
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− | = Audio Analysis Libraries | + | = 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 === | ||
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'''Links''' | '''Links''' | ||
* Homepage https://people.csail.mit.edu/hubert/pyaudio/ | * Homepage https://people.csail.mit.edu/hubert/pyaudio/ | ||
+ | * Documentation https://madmom.readthedocs.io/en/latest/ | ||
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* Apply dimensionality reduction to visualize audio data and content similarities | * Apply dimensionality reduction to visualize audio data and content similarities | ||
− | == Examples | + | == Examples & tutorials & learning material == |
## musicinformationretrieval.com ## | ## musicinformationretrieval.com ## | ||
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Many examples about analyzing audio and doing Machine Learning with it | Many examples about analyzing audio and doing Machine Learning with it | ||
− | |||
= Clock Synchronzation Libraries = | = Clock Synchronzation Libraries = |
Revision as of 14:41, 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 Synchronzation 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