{"repo":"libAudioFlux/audioFlux","free":true,"listed":false,"github":"https://github.com/libAudioFlux/audioFlux","clone":"git clone https://github.com/libAudioFlux/audioFlux.git","description":"A library for audio and music analysis, feature extraction.","language":"C","stars":3348,"topics":["audio","audio-analysis","audio-features","python","music","music-information-retrieval","spectrogram","wavelet-transform","spectral-analysis","wavelet-analysis"],"license":"MIT","category":"media-processing","readme_excerpt":"audioFlux audioflux is a deep learning tool library for audio and music analysis, feature extraction. It supports dozens of time-frequency analysis transformation methods and hundreds of corresponding time-domain and frequency-domain feature combinations. It can be provided to deep learning networks for training, and is used to study various tasks in the audio field such as Classification, Separation, Music Information Retrieval(MIR) and ASR etc. New Features v0.1.8 Add a variety of Pitch algorithms: YIN , CEP , PEF , NCF , HPS , LHS , STFT and FFP . Add PitchShift and TimeStretch algorithms. v0.1.10 Add TuneTrack algorithms to an instrument tuner: accurate, fast, smooth for guitar, ukulele, bass, banjo, mandolin, violin and etc. Table of Contents - Overview - Installation - Python Package Install - Other Build - Quickstart - Benchmark - Documentation - Contributing - Citing - License Overview audioFlux is based on data stream design. It decouples each algorithm module in structure, and can quickly and efficiently extract features of multiple dimensions. The following is the main feature architecture diagram. You can use multiple dimensional feature combinations, select different deep learning networks training, study various tasks in the audio field such as Classification, Separation, MIR etc. The main functions of audioFlux include transform , feature and mir modules. 1. Transform In the time–frequency representation, main transform algorithm: - BFT    -  &nb","default_branch":null,"files":null,"tree":[],"storefront":"/r/libAudioFlux","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/libAudioFlux/audioFlux/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}