Presentation 2005/12/15
Evaluation of Mel-LPC based front-end for CENSREC database
BABUL ISLAM, Hiroshi MATSUMOTO, Kazumasa YAMAMOTO,
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Abstract(in English) We previously proposed a Mel-Wiener filter to enhance Mel-LPC spectra in presence of additive noise. The proposed filter was estimated based on minimization of sum of the square error on the linear frequency scale and then efficiently implemented in the autocorrelation domain without denoising input speech. In this paper the autoregressive (AR) model of noise is used to detect noise. The performance of the filter is evaluated on AURORA-2J (CENSREC-I) database. With the proposed Wiener filter the word accuracy is improved by about 58% relative to the baseline.
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Keyword(in English) Speech recognition / noisy environment / Mel-Wiener filter / Mel-LPC analysis / CENSREC
Paper # NLC2005-87,SP2005-120
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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 ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Evaluation of Mel-LPC based front-end for CENSREC database
Sub Title (in English)
Keyword(1) Speech recognition
Keyword(2) noisy environment
Keyword(3) Mel-Wiener filter
Keyword(4) Mel-LPC analysis
Keyword(5) CENSREC
1st Author's Name BABUL ISLAM
1st Author's Affiliation Faculty of Engineering, Shinshu University()
2nd Author's Name Hiroshi MATSUMOTO
2nd Author's Affiliation Faculty of Engineering, Shinshu University
3rd Author's Name Kazumasa YAMAMOTO
3rd Author's Affiliation Faculty of Engineering, Shinshu University
Date 2005/12/15
Paper # NLC2005-87,SP2005-120
Volume (vol) vol.105
Number (no) 494
Page pp.pp.-
#Pages 2
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