Presentation 2006/12/14
Voice Activity Detection with Integrated Bispectrum of 3rd Order Cumulant and MFCC
Hiroyoshi MATSUDA, Tetsuya TAKIGUCHI, Yasuo ARIKI,
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Abstract(in English) The separation of speech and non-speech events is an important problem for speech recognition. In clean conditions, energy or zero-crossing features work well. However, a traditional voice activity detection (VAD) is not robust to noisy conditions, where speech signal is seriously contaminated by noise. A robust VAD algorithm based on the determination of the speech/non-speech bispectra of the third order auto-cumulants has been proposed. In this paper, we investigate the effectiveness of the integration between MFCC and the bispectra of the third order auto-cumulants. Experimental results show the proposed algorithm effective.
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Keyword(in English) cumulant / voice activity detection / VAD / higher order statistics
Paper # NLC2006-44,SP2006-100
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Committee NLC
Conference Date 2006/12/14(1days)
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Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Voice Activity Detection with Integrated Bispectrum of 3rd Order Cumulant and MFCC
Sub Title (in English)
Keyword(1) cumulant
Keyword(2) voice activity detection
Keyword(3) VAD
Keyword(4) higher order statistics
1st Author's Name Hiroyoshi MATSUDA
1st Author's Affiliation Graduated School of Science and Technology, Kobe University()
2nd Author's Name Tetsuya TAKIGUCHI
2nd Author's Affiliation Graduated School of Science and Technology, Kobe University
3rd Author's Name Yasuo ARIKI
3rd Author's Affiliation Graduated School of Science and Technology, Kobe University
Date 2006/12/14
Paper # NLC2006-44,SP2006-100
Volume (vol) vol.106
Number (no) 441
Page pp.pp.-
#Pages 6
Date of Issue