AudioFlux is a library for audio and music analysis and feature extraction, supporting applications across deep learning, pattern recognition, signal processing, and other analytical domains rather than targeting a single narrow use case.
Core functionality spans spectrogram generation, transform operations, feature extraction, Music Information Retrieval (MIR), display and visualization tools, and supporting utility functions – the building blocks researchers and engineers need to work with raw audio data programmatically.
AudioFlux targets researchers and developers working with audio data across machine learning, signal processing, bioinformatics, statistics, and finance sectors. The library is open-source under the MIT License, free to use, with source code and documentation available on GitHub and Read the Docs.
