International Journal of Fuzzy Logic and Intelligent Systems

  • 제4권2호
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  • Pages.254-258
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  • 2004
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  • 1598-2645(pISSN)
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  • 2093-744X(eISSN)
한국지능시스템학회 (Korean Institute of Intelligent Systems)
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The Performance Improvement of Speech Recognition System based on Stochastic Distance Measure

  • Jeon, B.S. (School of Electrical & Computer Engineering, Chungbuk National University) ;
  • Lee, D.J. (School of Electrical & Computer Engineering, Chungbuk National University) ;
  • Song, C.K. (School of Electrical & Computer Engineering, Chungbuk National University) ;
  • Lee, S.H. (School of Electrical and Computer Engineering, Pusan National University) ;
  • Ryu, J.W. (School of Electrical & Computer Engineering, Chungbuk National University)
  • 발행 : 2004.09.01
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초록

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.

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참고문헌

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