Combining speech feature information by D-S evidence reasoning

Author

Chengyou, Wang ; Yunhui, Liu ; Cai Xaunping ; Diannong, Liang

Author_Institution

Joint Center for Intelligent Sensing & Syst., Nat. Univ. of Defense Technol., Changsha, China

Volume

2

fYear

2003

fDate

8-13 Oct. 2003

Firstpage

1356

Abstract

D-S evidence reasoning is applied to speech recognition for combining various kinds of speech feature information in this paper. The principle of combining feature information with D-S evidence reasoning is firstly described. Then the paper discusses the decision rules for recognition and computation of the method. An experiment is finally finished in a DHMM/MNCD recognition system using the method and the experiment results are discussed. It improves about 5% in the accuracy rate of the experiment system, which speech base has 100 Chinese similar words in pronunciation. The results indicate that D-S evidence reasoning could combine feature complementary information in speech recognition for improving recognition performance.

Keywords

hidden Markov models; inference mechanisms; speech recognition; uncertainty handling; Chinese words; D-S evidence reasoning; decision rules; speech feature information; speech recognition; Cepstral analysis; Cepstrum; Hidden Markov models; Intelligent systems; Linear predictive coding; Speech recognition; Vector quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

Robotics, Intelligent Systems and Signal Processing, 2003. Proceedings. 2003 IEEE International Conference on

Print_ISBN

0-7803-7925-X

Type

conf

DOI

10.1109/RISSP.2003.1285790

Filename

1285790