shxivya/Sound-Classification-and-Music-Style-Prediction-Systems
View on GitHub ↗Related repositories →This project applies CNN and CRNN models for genre classification under resource constraints. Using transfer learning and multiframe techniques, it adapts pre-trained architectures, averages multiple audio frames, and fine-tunes models. Evaluated on custom and GTZAN datasets, the approach achieves competitive accuracy with efficient data handling.
active 2024-11-10 → 2024-11-10 (UTC)
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Line chart, 1 days from 2024-11-10 to 2024-11-10. Pushes: 2 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
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Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| shxivya | 2 | 2 | 0 | 0 |
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