IMPROVING THE RECOGNITION PERFORMANCE BY USING A PARALLEL-BRANCH SUBUNIT MODEL-BASED ON MISRECOGNISED DATA

被引：0
|
作者：
PARK, YK
UN, CK
机构：
[1] Communication Research Laboratory, Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Taejon, 371-1 Kusung-Dong, Yusung-Ku
来源：
ELECTRONICS LETTERS | 1994年 / 30卷 / 17期
关键词：
SPEECH RECOGNITION; MARKOV PROCESSES;
D O I：
10.1049/el:19940964
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：
An initialisation and training method using a parallel-branch subunit model is obtained which uses a continuous hidden Markov model for improved recognition performance. The model is obtained by adding a new subunit branch based on misrecognised data in the training data to the previous parallel branches for that subunit. This procedure is shown to be efficient and gives good word recognition performance.
引用
收藏
页码：1380 / 1382
页数：3
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