The Performance Improvement of Speech Recognition System based on Stochastic Distance Measure

In this paper, we propose a robust speech recognition system under noisy environments. Since the presence of noise severely degrades the performance of speech recognition system, it is important to design the robust speech recognition method against noise. The proposed method adopts a new distance m...

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Bibliographic Details
Published inInternational journal of fuzzy logic and intelligent systems : IJFIS Vol. 4; no. 2; pp. 254 - 258
Main Authors Jeon, B.S, Lee, D.J, Song, C.K, Lee, S.H, Ryu, J.W
Format Journal Article
LanguageKorean
Published 2004
Subjects
speech recognition
Euclidian distance
probability
distance measure
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Summary:In this paper, we propose a robust speech recognition system under noisy environments. Since the presence of noise severely degrades the performance of speech recognition system, it is important to design the robust speech recognition method against noise. The proposed method adopts a new distance measure technique based on stochastic probability instead of conventional method using minimum error. For evaluating the performance of the proposed method, we compared it with conventional distance measure for the 10-isolated Korean digits with car noise. Here, the proposed method showed better recognition rate than conventional distance measure for the various car noisy environments.
Bibliography:KISTI1.1003/JNL.JAKO200412910478649
ISSN:1598-2645
2093-744X