Presentation 2005/12/15
Noisy speech recognition based on integration of multiple noise suppression methods
Souta HAMAGUCHI, Norihide KITAOKA, Seiichi NAKAGAWA,
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Abstract(in English) To achieve high recognition performance for a wide variety of noise and for a wide range of signal-to-noise ratio, this report presents the integration method of multiple noise reduction algorithms at front end or back end. In this report, we evaluate the method using the AURORA-2J and CENSREC-3 task.
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Keyword(in English) noisy speech recognition / selection of noise suppression methods / GMM / AURORA-2J / CENSREC-3
Paper # NLC2005-83,SP2005-116
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Committee NLC
Conference Date 2005/12/15(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) Noisy speech recognition based on integration of multiple noise suppression methods
Sub Title (in English)
Keyword(1) noisy speech recognition
Keyword(2) selection of noise suppression methods
Keyword(3) GMM
Keyword(4) AURORA-2J
Keyword(5) CENSREC-3
1st Author's Name Souta HAMAGUCHI
1st Author's Affiliation Toyohashi University of Technology()
2nd Author's Name Norihide KITAOKA
2nd Author's Affiliation Toyohashi University of Technology
3rd Author's Name Seiichi NAKAGAWA
3rd Author's Affiliation Toyohashi University of Technology
Date 2005/12/15
Paper # NLC2005-83,SP2005-116
Volume (vol) vol.105
Number (no) 494
Page pp.pp.-
#Pages 2
Date of Issue