Estimating the Rank of a Nonnegative Matrix Factorization Model for Automatic Music Transcription Based on Stein’s Unbiased Risk Estimator

In this paper, methods to estimate the number of basis vectors of the nonnegative matrix factorization (NMF) of automatic music transcription (AMT) systems are proposed. Previously, studies on NMF-based AMT have demonstrated that the number of basis vectors affects the performance and that the numbe...

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Autor principal:	Seokjin Lee
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2020-04-01
coleção:	Applied Sciences
Assuntos:	automatic music transcription nonnegative matrix factorization number of basis vectors Stein’s unbiased risk estimator
Acesso em linha:	https://www.mdpi.com/2076-3417/10/8/2911
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