Sparse modeling of chroma features
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- 作者：Ted Kronvall ; ted@maths.lth.se" class="auth_mail" title="E-mail the corresponding author ; Maria Juhlin juhlin@maths.lth.se" class="auth_mail" title="E-mail the corresponding author ; Johan Swä ; rd js@maths.lth.se" class="auth_mail" title="E-mail the corresponding author ; Stefan I. Adalbjö ; rnsson ; sia@maths.lth.se" class="auth_mail" title="E-mail the corresponding author ; Andreas Jakobsson aj@maths.lth.se" class="auth_mail" title="E-mail the corresponding author
- 关键词：Chroma ; Multi-pitch estimation ; Sparse modeling ; Amplitude modulation ; Block sparsity ; ADMM
- 刊名：Signal Processing
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：130
- 期：Complete
- 页码：105-117
- 全文大小：1359 K
文摘
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Two chroma estimators are proposed, exploiting the harmonic structure of music.
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A sparse modeling framework is used, not requiring explicit model order knowledge.
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One estimator assumes stationarity, promoting chroma with spectrally smooth partials.
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One estimator allows for amplitude modulation by using a B-spline representation.
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A Cramér–Rao lower bound is derived for the chroma-specific signal model.