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Semi-blind speech-music separation using sparsity and continuity priors

Erdogan, H and Grais, EM (2010) Semi-blind speech-music separation using sparsity and continuity priors In: 20th International Conference on Pattern Recognition (ICPR), 2010-08-23 - ?.

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Abstract

In this paper we propose an approach for the problem of single channel source separation of speech and music signals. Our approach is based on representing each source's power spectral density using dictionaries and nonlinearly projecting the mixture signal spectrum onto the combined span of the dictionary entries. We encourage sparsity and continuity of the dictionary coefficients using penalty terms (or log-priors) in an optimization framework. We propose to use a novel coordinate descent technique for ...

Item Type: Conference or Workshop Item (Conference Paper)
Subjects : Electronic Engineering
Authors :
NameEmailORCID
Erdogan, HUNSPECIFIEDUNSPECIFIED
Grais, EMUNSPECIFIEDUNSPECIFIED
Date : 23 August 2010
Contributors :
ContributionNameEmailORCID
publisherIEEE, UNSPECIFIEDUNSPECIFIED
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:54
Last Modified : 18 May 2017 12:53
URI: http://epubs.surrey.ac.uk/id/eprint/840748

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