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

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题名:	Mandarin speech recognition using segment-based cepstral comparison in noisy conditions
作者:	Tung,SL;Juang,YT
贡献者:	電機工程研究所
日期:	1996
上传时间:	2010-06-29 20:22:28 (UTC+8)
出版者:	中央大學
摘要:	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.
關聯:	ELECTRONICS LETTERS
显示于类别:	[電機工程研究所] 期刊論文

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