Blind dereverberation of single-channel speech signals using an ICA-based generative model

Jong-Hwan Lee, Sang Hoon Oh, Soo Young Lee

Research output: Contribution to journalArticle

Abstract

In this paper, an adaptive blind dereverberation method based on speech generative model is presented. Our ICA-based speech generative model can decompose speeches into independent sources. Experimental results show that the proposed blind dereverberation model successfully performs even in non-minimum phase channels.

Original languageEnglish
Pages (from-to)1070-1075
Number of pages6
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3316
Publication statusPublished - 2004 Dec 1
Externally publishedYes

Fingerprint

Generative Models
Speech Signal
Independent component analysis
Non-minimum Phase
Decompose
Experimental Results
Speech
Model

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

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