Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
- audio
- machine-learning
- signal-processing
- audio-data
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Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
Data manipulation and transformation for audio signal processing, powered by PyTorch
An advanced audio library, written in C#. Provides tons of features. From playing/recording audio to decoding/encoding audio streams/files to processing audio data in realtime (e.g. applying custom effects during playback, create visualizations,...). The possibilities are nearly unlimited.
A Python library for audio data augmentation. Useful for making audio ML models work well in the real world, not just in the lab.
A C library for reading and writing sound files containing sampled audio data.
Convenient unified display of the most relevant technical and tag data for video and audio files.
A library for augmenting annotated audio data
A thin wrapper around the Web Audio API that takes an <audio> element and gives you its waveform/frequency data in return.
Analyze, visualize, and process sound field data recorded by spherical microphone arrays.