Speech feature extracted from adaptive wavelet for speech recognition

被引：19

作者：

Chang, SW

Kwon, Y

Yang, SI

机构：

[1] Hanyang Univ, Dept Control & Instrumentat Engn, Seoul 425791, South Korea

[2] Hanyang Univ, Dept Phys, Seoul 425791, South Korea

来源：

ELECTRONICS LETTERS | 1998年 / 34卷 / 23期

关键词：

D O I：

10.1049/el:19981486

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A new speech feature extracted from adaptive wavelet for speech recognition is described. The speech signal is decomposed through adapted local trigonometric transforms. The decomposed signal is classified by M uniform sub-bands for each subinterval. The energy of each sub-band is used as a speech feature. This Feature is applied to vector quantisation and the hidden Markov model. The new speech feature shows a slightly better recognition rate than the cepstrum for speaker independent speech recognition, The new speech feature also shows a lower standard deviation between speakers than does the cepstrum.

引用

页码：2211 / 2213

页数：3