audioFlux is a powerful deep learning tool for audio and music analysis, offering a wide range of time-frequency analysis methods and feature combinations. The library is designed for easy feature extraction and can be applied to tasks like Classification, Separation, and Music Information Retrieval. Notable new features include various Pitch algorithms and transformations like PitchShift and TimeStretch. The library supports different deep learning networks and utilizes data stream design for efficient feature extraction. Users can explore a variety of transform algorithms, feature modules, and MIR algorithms, and the library is available for various platforms. For installation and more information, visit the official website.
https://github.com/libAudioFlux/audioFlux