Presentation | 2006/9/19 Voice Activity Detection with 3rd Order Cumulant 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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | cumulant / voice activity detection / VAD / higher order statistics |
Paper # | SIP2006-66,SIS2006-29,SP2006-52 |
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Committee | SIS |
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Conference Date | 2006/9/19(1days) |
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Registration To | Smart Info-Media Systems (SIS) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Voice Activity Detection with 3rd Order Cumulant |
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 | Faculty of Engineering, Kobe University() |
2nd Author's Name | Tetsuya TAKIGUCHI |
2nd Author's Affiliation | Faculty of Engineering, Kobe University |
3rd Author's Name | Yasuo ARIKI |
3rd Author's Affiliation | Faculty of Engineering, Kobe University |
Date | 2006/9/19 |
Paper # | SIP2006-66,SIS2006-29,SP2006-52 |
Volume (vol) | vol.106 |
Number (no) | 261 |
Page | pp.pp.- |
#Pages | 6 |
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