[P] A High-Performance Audio Library for Machine Learning

Project: [https://github.com/libAudioFlux/audioFlux](https://github.com/libAudioFlux/audioFlux)


Benchmark poular libraries performance in this [Issue](https://github.com/libAudioFlux/audioFlux/issues/22).


AudioFlux is a Python library that provides deep learning tools for audio and music analysis and feature extraction. It supports various time-frequency analysis transformation methods, which are techniques for analyzing audio signals in both the time and frequency domains. Some examples of these transformation methods include the short-time Fourier transform (STFT), the constant-Q transform (CQT), and the wavelet transform.

analysis audio deep learning examples extraction feature library machine machine learning machinelearning music performance python tools transformation wavelet