Difference between revisions of "Music : Audio Analysis, Synchronization, And More"
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| − | == Audio Analysis Libraries | + | == Audio Analysis Libraries == |
| + | === 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/ | ||
| + | |||
| + | |||
| + | '''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 and applied projects == | ||
| + | |||
| + | ## musicinformationretrieval.com ## | ||
| + | |||
| + | "" Links "" | ||
| + | * https://github.com/stevetjoa/musicinformationretrieval.com | ||
| + | |||
| + | Many examples about analyzing audio and doing Machine Learning with it | ||
Revision as of 14:28, 12 June 2019
Contents
Audio Analysis Libraries
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
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 and applied projects
- musicinformationretrieval.com ##
"" Links ""
Many examples about analyzing audio and doing Machine Learning with it
