2020 · 26 citations · 6 references
ArtsMusicologyMusic PsychologyClassificationGenre ClassificationMusical GenresTransfer LearningWestern GenresAudio ClassificationGenre TransferMachine Learning For MusicMusic ClassificationMusic Genre Classification SystemsPopular Music GenresSong Classification
We proposed a transfer learning approach for audio-based classification of 11 western music genres, including Rock, Pop, Rap, Country, Folk, Metal, Jazz, Blues, R&B, Electronic Music and Classical Music. Multiple models were investigated. The best one can achieve 0.9799 ROC-AUC and 0.8938 PR-AUC on a private dataset of 1100 songs.
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Transfer learning for music classification and regression tasks
Keunwoo Choi, György Fazekas, M. Sandler et al. · arXiv (Cornell University) · 2017 · 126 citations · Full text
End-to-end learning for music audio tagging at scale
Jordi Pons, Oriol Nieto, Matthew Prockup et al. · arXiv (Cornell University) · 2017 · 82 citations · Full text