EXPECTATION-MAXIMIZATION ALGORITHM FOR MULTI-PITCH ESTIMATION AND SEPARATION OF OVERLAPPING HARMONIC SPECTRA

被引：9

作者：

Badeau, Roland ^{[1
]}

Emiya, Valentin ^{[1
]}

David, Bertrand ^{[1
]}

机构：

[1] TELECOM ParisTech ENST, CNRS LTCI, Paris, France

来源：

2009 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1- 8, PROCEEDINGS | 2009年

关键词：

Spectral analysis; Maximum likelihood estimation; Algorithms; Harmonic analysis; Envelope detection;

D O I：

10.1109/ICASSP.2009.4960273

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

This paper addresses the problem of multi-pitch estimation, which consists in estimating the fundamental frequencies of multiple harmonic sources, with possibly overlapping partials, from their mixture. The proposed approach is based on the expectation-maximization algorithm, which aims at maximizing the likelihood of the observed spectrum, by performing successive single-pitch and spectral envelope estimations. This algorithm is illustrated in the context of musical chord identification.

引用

页码：3073 / 3076

页数：4

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