It can memorize recorded audio by listening to it once and fingerprinting it. With the help of this library, you can extract audio features and representations, classify unknown sounds, apply dimensionality reduction to visualize audio data and content similarities, perform supervised and unsupervised segmentation, detect audio events and exclude silence periods from long recordings and much more.ĭejavu Project is an open-source audio fingerprinting project in Python. PyAudioAnalysis is an open Python library that provides a wide range of audio-related functionalities focusing on feature extraction, classification, segmentation, and visualization issues. The tools in pyo module offer primitives, like mathematical operations on the audio signal, basic signal processing (filters, delays, synthesis generators, etc.), but also complex algorithms to create sound granulation and others creative audio manipulations.
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