libAudioFlux/audioFlux

Health v2 · maintenance only

Adoption not part of the score

3351 stars · 146 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

audioFlux is a C-based library with Python bindings for audio and music analysis and feature extraction. It supports dozens of time-frequency transform methods and hundreds of feature combinations for deep learning tasks like classification, separation, MIR, and ASR.

Use cases

• extract mel spectrograms and MFCC features from audio
• compute CQT and chroma features for music analysis
• detect pitch for instrument tuning
• extract audio features for deep learning model training
• perform time-frequency analysis of audio signals
• music information retrieval feature extraction
• pitch shift and time stretch audio

When to choose

• you need high-performance audio feature extraction in C with a Python API
• you want many time-frequency transform methods in one library
• you need mobile support (iOS/Android) for real-time audio analysis
• you're building MIR, ASR, or audio classification pipelines

When to avoid

• you need audio playback, editing, or DAW functionality
• you only need simple file I/O or format conversion
• you need a pure-Python dependency-free solution

Facets

library · maturity active

audio-processing machine-learning nlp machine-learning deep-learning speech-processing python windows cpp cross-platform audio-analysis feature-extraction music-information-retrieval spectrogram mfcc pitch-detection wavelet-transform signal-processing mir audio linux macos ios android

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