Mandarin speech recognition using segment-based cepstral comparison in noisy conditions

NCUIR > College of Electrical Engineering & Computer Science > Graduate Institute of Electrical Engineering > journal & Dissertation > Item 987654321/29350

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/29350

Title:	Mandarin speech recognition using segment-based cepstral comparison in noisy conditions
Authors:	Tung,SL;Juang,YT
Contributors:	電機工程研究所
Date:	1996
Issue Date:	2010-06-29 20:22:28 (UTC+8)
Publisher:	中央大學
Abstract:	A new scheme is proposed that compensates for the effects of noise in speech recognition systems. The new scheme was applied to Mandarin speech recognition. Another scheme. based on interpolation of the compensation vectors of several environments for a particular environment that is not obtained during the training phase, called interpolated SSDCN (ISSDCN), is also presented. Experimental results show that the scheme performs well under different SNR conditions.
Relation:	ELECTRONICS LETTERS
Appears in Collections:	[Graduate Institute of Electrical Engineering] journal & Dissertation

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