MWM-io/SpecTNT-pytorch
Unofficial implementation of SpecTNT in pytorch
This project helps music professionals and researchers automatically categorize music and identify rhythmic structures. By inputting audio files, you can get insights like genre tags for library organization or precise beat and downbeat markers for analysis or synchronization. It's designed for musicologists, DJs, audio engineers, and anyone needing automated music content analysis.
No commits in the last 6 months.
Use this if you need to automatically tag music with descriptive categories or accurately detect the beats and downbeats within audio tracks.
Not ideal if you're looking for a complete, production-ready system with pre-built dataset handling, as this implementation focuses on the core model architecture.
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Language
Python
License
MIT
Category
Last pushed
Oct 14, 2022
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