Quint-e/equivariant-self-supervision-tempo

Official implementation of "Equivariant Self-Supervision for Musical Tempo Estimation (ISMIR 2022)"

30
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Emerging

This project helps music professionals automatically determine the tempo of musical pieces. It takes audio files from various datasets as input and outputs precise tempo annotations, which can then be used to analyze music collections. It's ideal for musicologists, DJs, music catalog managers, or anyone needing to categorize or work with music based on its beats per minute.

No commits in the last 6 months.

Use this if you need to accurately estimate the tempo of large collections of audio tracks for analysis, categorization, or creative purposes.

Not ideal if you're looking for a simple drag-and-drop application without any technical setup, as this project requires some command-line interaction.

music-information-retrieval audio-analysis music-cataloging music-production DJing
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 7 / 25

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Stars

26

Forks

2

Language

Python

License

ISC

Last pushed

Feb 06, 2023

Commits (30d)

0

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