Extracting Speech Signals using Independent Component Analysis

Charles T. M. Choi, Yi Hsuan Lee

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Independent component analysis (ICA) is the dominant method to resolve blind source separation (BSS) problem. In this article we conducted experiments to evaluate the separation performance of ICA for acoustic signals. Experiments results show that if we can find appropriate placement of microphones, applying ICA to hearing prostheses as pre-processing can help the wearer hear more clear sounds.

Original languageEnglish
Title of host publication13th International Conference on Biomedical Engineering - ICBME 2008
Pages179-182
Number of pages4
DOIs
StatePublished - 1 Dec 2009
Event13th International Conference on Biomedical Engineering, ICBME 2008 - , Singapore
Duration: 3 Dec 20086 Dec 2008

Publication series

NameIFMBE Proceedings
Volume23
ISSN (Print)1680-0737

Conference

Conference13th International Conference on Biomedical Engineering, ICBME 2008
CountrySingapore
Period3/12/086/12/08

Keywords

  • Acoustic Signals Separation
  • Hearing Prostheses
  • Independent Component Analysis (ICA)

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