Music Transcription Based on Bayesian Piece-Specific Score Models Capturing Repetitions

18 Aug 2019Eita NakamuraKazuyoshi Yoshii

Most work on models for music transcription has focused on describing local sequential dependence of notes in musical scores and failed to capture their global repetitive structure, which can be a useful guide for transcribing music. Focusing on the rhythm, we formulate several classes of Bayesian Markov models of musical scores that describe repetitions indirectly by sparse transition probabilities of notes or note patterns... (read more)

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