Transactions of the Society of Information Storage Systems (정보저장시스템학회논문집)

The Society of Information Storage Systems (정보저장시스템학회)
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Speech Recognition of Multi-Syllable Words Using Soft Computing Techniques

소프트컴퓨팅 기법을 이용한 다음절 단어의 음성인식

  • 이종수 (연세대학교 기계공학부) ;
  • 윤지원 (연세대학교 대학원 기계공학과)
  • Received : 2010.03.12
  • Accepted : 2010.03.23
  • Published : 2010.03.25
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Abstract

The performance of the speech recognition mainly depends on uncertain factors such as speaker's conditions and environmental effects. The present study deals with the speech recognition of a number of multi-syllable isolated Korean words using soft computing techniques such as back-propagation neural network, fuzzy inference system, and fuzzy neural network. Feature patterns for the speech recognition are analyzed with 12th order thirty frames that are normalized by the linear predictive coding and Cepstrums. Using four models of speech recognizer, actual experiments for both single-speakers and multiple-speakers are conducted. Through this study, the recognizers of combined fuzzy logic and back-propagation neural network and fuzzy neural network show the better performance in identifying the speech recognition.

Keywords

References

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