Title :
Mandarin speech recognition using segment-based cepstral comparison in noisy conditions
Author :
Tung, Shin-Lun ; Juang, Yau-Tarng
Author_Institution :
Dept. of Electr. Eng., Nat. Central Univ., Chung-Li, Taiwan
fDate :
8/15/1996 12:00:00 AM
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
Keywords :
cepstral analysis; compensation; interpolation; random noise; speech recognition; Mandarin speech recognition; SNR conditions; compensation vectors; interpolated SSDCN; interpolation; noise effects compensation; noisy conditions; segment-based cepstral comparison;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19961076
