audioflux-audio-music-analysis-feature-extraction-library git:20260518.642238bA

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---
name: "audioFlux Audio and Music Analysis Feature Extraction Library"
slug: "audioflux-audio-music-analysis-feature-extraction-library"
description: "audioFlux is a deep learning tool library for audio and music analysis and feature extraction, supporting dozens of time-frequency transforms and hundreds of feature combinations for classification, separation, MIR, and ASR tasks."
github_stars: 3290
verification: "security_reviewed"
source: "https://github.com/libAudioFlux/audioFlux"
category: "Media & Transcription"
framework: "Multi-Framework"
tool_ecosystem:
  github_repo: "libaudioflux/audioflux"
  github_stars: 3290
---

# audioFlux Audio and Music Analysis Feature Extraction Library

audioFlux is a deep learning tool library for audio and music analysis and feature extraction, supporting dozens of time-frequency transforms and hundreds of feature combinations for classification, separation, MIR, and ASR tasks.

## Installation

Use the upstream install or setup path that matches your environment:
- $ pip install audioflux
- $ conda install -c tanky25 -c conda-forge audioflux

Requirements and caveats from upstream:
- [![PyPI - Python Version](https://img.shields.io/badge/python-%3E%3D3.6-brightgreen)](https://pypi.org/project/audioflux/)
- [Python Package Install](#python-package-install)
- ### Python Package Install

Basic usage or getting-started notes:
- ![example branch parameter](https://github.com/libAudioFlux/audioFlux/actions/workflows/build.yml/badge.svg?branch=master)
- ![language](https://img.shields.io/badge/platform-%20Linux%20%7C%20macOS%20%7C%20Windows%20%7C%20iOS%20%7C%20Android%20-lyellow.svg)
- The library is cross-platform and currently supports Linux, macOS, Windows, iOS and Android systems.

- Source: https://github.com/libAudioFlux/audioFlux
- Extracted from upstream docs: https://raw.githubusercontent.com/libAudioFlux/audioFlux/HEAD/README.md

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/audioflux-audio-music-analysis-feature-extraction-library/)