# 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.

- Skill: `agentskillexchange/audioflux-audio-and-music-analysis-feature-extraction-librar` (Agent Skill)
- Install (CLI): `npx skillmds@latest add agentskillexchange/audioflux-audio-and-music-analysis-feature-extraction-librar`
- Raw SKILL.md: https://api.skillmd.com/api/skills/agentskillexchange/audioflux-audio-and-music-analysis-feature-extraction-librar/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: agentskillexchange (https://skillmd.com/u/agentskillexchange)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/agentskillexchange/audioflux-audio-and-music-analysis-feature-extraction-librar

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# 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/)