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audioFlux : bibliothèque d'extraction de caractéristiques pour…

audioFlux est une bibliothèque d'outils d'apprentissage profond pour l'analyse audio et musicale et l'extraction de caractéristiques, prenant en charge des dizaines de transformations temps-fréquence et des centaines de combinaisons de caractéristiques pour les tâches de classification, séparation, MIR et ASR.

Qu'est-ce que audioFlux : bibliothèque d'extraction de caractéristiques pour… ?

audioFlux est une bibliothèque puissante et spécialisée conçue pour les développeurs et les chercheurs travaillant sur l'analyse audio et musicale. Elle fournit des dizaines de méthodes de transformation temps-fréquence (comme la STFT, CQT, etc.) et des centaines de combinaisons de caractéristiques, ce qui la rend idéale pour les tâches de classification audio, de séparation de sources, de recherche d'information musicale (MIR) et de reconnaissance automatique de la parole (ASR). La bibliothèque est construite avec une approche d'apprentissage profond, mais offre également des utilitaires de traitement du signal traditionnel. Elle est multiplateforme et prend en charge Linux, macOS, Windows, iOS et Android, ce qui permet un déploiement flexible. L'installation est simple via pip ou conda, et le code source est disponible sur GitHub, facilitant l'intégration et la personnalisation pour les pipelines d'IA et les agents logiciels.

Compatible avec~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/audioflux-audio-music-analysis-feature-extraction-library
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Documentation

audioFlux : bibliothèque d'extraction de caractéristiques pour l'analyse audio et musicale

audioFlux est une bibliothèque d'outils d'apprentissage profond pour l'analyse audio et musicale et l'extraction de caractéristiques, prenant en charge des dizaines de transformations temps-fréquence et des centaines de combinaisons de caractéristiques pour les tâches de classification, séparation, MIR et ASR.

Installation

Utilisez le chemin d'installation ou de configuration en amont qui correspond à votre environnement :

  • $ pip install audioflux
  • $ conda install -c tanky25 -c conda-forge audioflux

Exigences et remarques de la source en amont :

Notes d'utilisation de base ou de démarrage :

Source

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

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Add Claude design-system and accessibility workflows with UX/UI

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Add executable smoke tests for shell scripts and CLIs before ref

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Add graph-backed memory and context retrieval to agent workflows

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Add persistent project memory and hook-driven synthesis with Cla

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Add temporal context memory to agent workflows with Zep

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