Scale-transform based features for application in speech recognition

被引：2
|
作者：
Umesh, S [1 ]
Cohen, L [1 ]
Nelson, D [1 ]
机构：
[1] Indian Inst Technol, Dept Elect Engn, Kanpur 208016, Uttar Pradesh, India
来源：
WAVELET APPLICATIONS IN SIGNAL AND IMAGE PROCESSING VII | 1999年 / 3813卷
关键词：
D O I：
10.1117/12.366828
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
We report recognition results using scale-transform based cepstral features in a telephone based digit recognition task The method is based on the use of scale-transform based features for speaker-independent applications, which are insensitive to linear-frequency scaling effects and therefore reduce inter-speaker variability due to differences in vocal-tract lengths. We have implemented a digit recognition task using the proposed scale-transform based features and have compared the recognition accuracy obtained when compared to using mel-cepstrum based front-end features.
引用
收藏
页码：727 / 731
页数：3
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