Blind deconvolution with sparse priors on the deconvolution filters

Hyung Min Park, Jong Hwan Lee, Sang Hoon Oh, Soo Young Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In performing blind deconvolution to remove reverberation from speech signal, most acoustic deconvolution filters need a great many number of taps, and acoustic environments are often time-varying. Therefore, deconvolution filter coefficients should find their desired values with limited data, but conventional methods need lots of data to converge the coefficients. In this paper, we use sparse priors on the acoustic deconvolution filters to speed up the convergence and obtain better performance. In order to derive a learning algorithm which includes priors on the deconvolution filters, we discuss that a deconvolution algorithm can be obtained by the joint probability density of observed signal and the algorithm includes prior information through the posterior probability density. Simulation results show that sparseness on the acoustic deconvolution filters can be successfully used for adaptation of the filters by improving convergence and performance.

Original languageEnglish
Title of host publicationIndependent Component Analysis and Blind Signal Separation - 6th International Conference, ICA 2006, Proceedings
Pages658-665
Number of pages8
DOIs
Publication statusPublished - 2006
Externally publishedYes
Event6th International Conference on Independent Component Analysis and Blind Signal Separation, ICA 2006 - Charleston, SC, United States
Duration: 2006 Mar 52006 Mar 8

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3889 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other6th International Conference on Independent Component Analysis and Blind Signal Separation, ICA 2006
CountryUnited States
CityCharleston, SC
Period06/3/506/3/8

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Park, H. M., Lee, J. H., Oh, S. H., & Lee, S. Y. (2006). Blind deconvolution with sparse priors on the deconvolution filters. In Independent Component Analysis and Blind Signal Separation - 6th International Conference, ICA 2006, Proceedings (pp. 658-665). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3889 LNCS). https://doi.org/10.1007/11679363_82