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A library for audio and music analysis, and feature extraction. Can be used for deep learning, pattern recognition, signal processing, bioinformatics, statistics, finance, etc. 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) ASR, etc.
Features
- audioFlux is based on data stream design
- You can use multiple dimensional feature combinations
- The main functions of audioFlux include transform, feature and mir modules
- Documentation available
- Examples available
- Python Package Install
Project Samples
Categories
Machine LearningLicense
MIT LicenseFollow audioFlux
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