Presentation 1997/12/11
Noise environment speech recognition using spectral subband centroids
Satoru Tsuge, Toshiaki Fukada, Harald Singer, Kuldip K. Paliwal,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper investigates the effectiveness of a novel feature for speech recognition called spectral subband centroids (SSC). SSC are computed as frequency centroids for each subband using the power spectrum of the speech signal. This feature can be obtained reliably even under noisy conditions because SSC are mainly computed from spectral peaks such as formants whose positions are almost unchanged in a noisy environment. Therefore, we can expect SSC to provide here useful information. Experimental results on Japanese spontaneous speech recognition showed that SSC produced significant improvements at SNR=10dB and 20dB when used as a supplemental feature to the conventional Mel-Frequency Cepstral Coefficients (MFCC).
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Keyword(in English) Spectral subband centroids / Supplement parameter / Noise environment / Speech recognition
Paper # SP97-71
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Committee SP
Conference Date 1997/12/11(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) Noise environment speech recognition using spectral subband centroids
Sub Title (in English)
Keyword(1) Spectral subband centroids
Keyword(2) Supplement parameter
Keyword(3) Noise environment
Keyword(4) Speech recognition
1st Author's Name Satoru Tsuge
1st Author's Affiliation ATR Interpreting Telecommunications Research Laboratories:Tokushima University()
2nd Author's Name Toshiaki Fukada
2nd Author's Affiliation ATR Interpreting Telecommunications Research Laboratories
3rd Author's Name Harald Singer
3rd Author's Affiliation ATR Interpreting Telecommunications Research Laboratories
4th Author's Name Kuldip K. Paliwal
4th Author's Affiliation Griffith University
Date 1997/12/11
Paper # SP97-71
Volume (vol) vol.97
Number (no) 441
Page pp.pp.-
#Pages 6
Date of Issue