Music Genre Classification Using Transfer Learning
Beici Liang, Minwei Gu
Abstract
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.
Topics & Concepts
JazzBluesTransfer of learningComputer scienceClassical musicPopular musicTransfer (computing)Artificial intelligenceKey (lock)Speech recognitionArtMusicalLiteratureVisual artsArt historyComputer securityParallel computingMusic and Audio ProcessingSpeech and Audio ProcessingDiverse Musicological Studies