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Other Publications Year : 2007

Two nonnegative matrix factorization methods for polyphonic pitch transcription

Nancy Bertin
Roland Badeau

Abstract

Polyphonic pitch transcription consists of estimating the onset time, duration and pitch of each note within a music signal. Adaptive signal models such as Nonnegative Matrix Factorization (NMF) appear well suited to this task, since they can provide a meaningful representation whatever instruments are playing. In this paper, we propose a simple transcription method using minimum residual loudness NMF, harmonic comb-based pitch identification and threshold-based onset/offset detection, and investigate a second method incorporating harmonicity constraints in the NMF model. Both methods are evaluated in the framework of MIREX 2007.
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Dates and versions

inria-00544213 , version 1 (07-12-2010)

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  • HAL Id : inria-00544213 , version 1

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Emmanuel Vincent, Nancy Bertin, Roland Badeau. Two nonnegative matrix factorization methods for polyphonic pitch transcription. 2007. ⟨inria-00544213⟩
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