Presentation 2009-01-29
Speeding up fundamental frequency information extraction by Hough transform for noise-robust speech recognition
Hideki YASUI, Koichi SHINODA, Sadaoki FURUI, Koji IWANO,
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Abstract(in English) While F_0 information obtained by Hough transform has been shown to be effective in speech recognition in noisy environment, it is difficult to use in real time applications because the computational costs for Hough transform is relatively high. This paper proposes an efficient F_0 extraction method using Hough transform. The number of frames perfoming Hough transform is reduced by reusing the voting values on the m-c plane calculated in the previous frames. We performed the evaluation experiments using the Japanese Newspaper Article Sentences and the JEIDA-NOISE database. Improvement of word accuracy on average over all the noise conditions was 1.5 points. In comparison with our previous study, computational costs for F_0 extraction was reduced by 44.7%.
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Keyword(in English) Hough transform / fundamental frequency information / speeding up / spectral subtraction / noise robust speech recognition
Paper # SP2008-129
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Committee SP
Conference Date 2009/1/22(1days)
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Registration To Speech (SP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Speeding up fundamental frequency information extraction by Hough transform for noise-robust speech recognition
Sub Title (in English)
Keyword(1) Hough transform
Keyword(2) fundamental frequency information
Keyword(3) speeding up
Keyword(4) spectral subtraction
Keyword(5) noise robust speech recognition
1st Author's Name Hideki YASUI
1st Author's Affiliation Department of Computer Science, Tokyo Institute of Technology()
2nd Author's Name Koichi SHINODA
2nd Author's Affiliation Department of Computer Science, Tokyo Institute of Technology
3rd Author's Name Sadaoki FURUI
3rd Author's Affiliation Department of Computer Science, Tokyo Institute of Technology
4th Author's Name Koji IWANO
4th Author's Affiliation Faculty of Environmental and Information Studies, Musashi Institute of Technology
Date 2009-01-29
Paper # SP2008-129
Volume (vol) vol.108
Number (no) 422
Page pp.pp.-
#Pages 6
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