POSTPROCESSOR USING FUZZY VECTOR QUANTIZER IN HMM-BASED SPEECH RECOGNITION

被引：1

作者：

KIM, HR ^{[1
]}

LEE, HS ^{[1
]}

机构：

[1] KOREA ADV INST SCI & TECHNOL, DEPT ELECT ENGN, COMMUN RES LAB, SEOUL, SOUTH KOREA

来源：

ELECTRONICS LETTERS | 1991年 / 27卷 / 22期

关键词：

SPEECH RECOGNITION; MODELING; SIGNAL PROCESSING;

D O I：

10.1049/el:19911238

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 postprocessor using fuzzy vector quantisation (FVQ) in HMM-based speech recognition is presented. A method to reduce the amount of computation in the FVQ postprocessor is also proposed. We show that the proposed method results in a higher recognition rate with almost the same amount of computation compared to the conventional Viterbi scoring method.

引用

页码：1998 / 2000

页数：3