dodiku/AudioOwl

Fast and simple music and audio analysis using RNN in Python 🕵️‍♀️ 🥁

48
/ 100
Emerging

AudioOwl helps musicians, DJs, and audio engineers quickly understand the core characteristics of a music or audio file. You input a WAV or MP3 audio file, and it outputs key information like tempo, beat locations, duration, and even the musical notes present. This is designed for anyone needing fast insights into audio without manual listening or complex analysis tools.

298 stars. No commits in the last 6 months. Available on PyPI.

Use this if you need to programmatically extract structural and musical details from audio files for tasks like organizing music libraries, creating automated DJ mixes, or developing music-based applications.

Not ideal if you need deep, qualitative human-like understanding of musicality, complex sentiment analysis from speech, or detailed sound event classification beyond basic musical notes.

music-analysis DJing audio-engineering sound-design music-information-retrieval
Stale 6m No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 25 / 25
Community 13 / 25

How are scores calculated?

Stars

298

Forks

21

Language

Python

License

MIT

Last pushed

Jun 20, 2022

Commits (30d)

0

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