Discriminative temporal feature extraction for robust speech recognition

被引：2

作者：

Shen, JL ^{[1
]}

机构：

[1] Acad Sinica, Inst Informat Sci, Taipei, Taiwan

来源：

ELECTRONICS LETTERS | 1997年 / 33卷 / 19期

关键词：

speech recognition; feature extraction;

D O I：

10.1049/el:19971079

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 discriminative temporal feature processing method for robust speech recognition is presented by combining the knowledge and the statistical methods. The cepstral features are first filtered by a RASTA method based on human hearing perception and then processed using the minimum classification error algorithm. Improved recognition performance can be achieved in both quiet and noisy environments.

引用

页码：1598 / 1600

页数：3

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