한국정보처리학회논문지 (The Transactions of the Korea Information Processing Society)

한국정보처리학회 (Korea Information Processing Society)
권호 표지

Wavelet 특징 파라미터를 이용한 한국어 고립 단어 음성 검출 및 인식에 관한 연구

A Study on Korean Isolated Word Speech Detection and Recognition using Wavelet Feature Parameter

  • 이준환 (극동대학교 전산정보학부 멀티미디어학과) ;
  • 이상범 (단국대학교 공학부 컴퓨터공학전공)
  • 발행 : 2000.07.01
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초록

In this papr, eatue parameters, extracted using Wavelet transform for Korean isolated worked speech, are sued for speech detection and recognition feature. As a result of the speech detection, it is shown that it produces more exact detection result than eh method of using energy and zero-crossing rate on speech boundary. Also, as a result of the method with which the feature parameter of MFCC, which is applied to he recognition, it is shown that the result is equal to the result of the feature parameter of MFCC using FFT in speech recognition. So, it has been verified the usefulness of feature parameters using Wavelet transform for speech analysis and recognition.

키워드

참고문헌

  1. Olivier Rioul, Martin Vetterli, 'Wavelets and Signal Processing,' IEEE SP magazine, pp.14-38, Oct. 1991 https://doi.org/10.1109/79.91217
  2. F. Hlawatsch, G. F. Boudareaux-Bartels, 'Linear and Quadratic Time-Frequency Signal Representations,' IEEE SP magazine, pp.21-33, April. 1992 https://doi.org/10.1109/79.127284
  3. G. Strang and T. Nguyens, 'Wavelet and Filter Banks', Wellesley-Canbrige Press, 1996
  4. 김바울, 윤철현, 홍광석, 박병철, '청각 모델에 기초한 음성 특징 추출에 관한 연구', 대한전자공학회논문지, 제33권 제4호, 1996년 4월
  5. T. Tan, R. Lang, Heiko Schroder, Andrew Spray 'Applying wavelet analysis to speech segmentation and classification,' SPIE Wavelet Application, Vol. 2242, 1994
  6. 경북대학교, '웨이브릿 변환을 이용한 음성분석 및 응용', 한국과학재단 최종 연구 결과 보고서, 1999
  7. L. F. Lemel, 'An improved endpoint detector for isolated word recognition,' IEEE Trans. Acoust., Speech and Signal Processing, Vol.2, No.3, pp.406-412, 1994
  8. L. Rabiner and B. H. Juang, 'Fundamentals of Speech Recognition', Prentice Hall, 1993
  9. 연세대학교, '맨 머쉰 인터페이스를 위한 음성신호처리 응용연구', 한국과학재단 최종 연구 결과 보고서, 1998
  10. L. R. Rabiner and B. H. Juang, 'An introduction to Hidden Markov Models,' IEEE ASSP Magazine, pp.4-16, Jan. 1986
  11. L. R. Rabiner, 'Tutorial on Hidden Markov Model and Selected Application in Speech Recognition,' Proc. IEEE, Vol.77, No.2, pp.257-285, 1989 https://doi.org/10.1109/5.18626
  12. X. D. Huang, Y. Ariki, M. A. Jack, 'Hidden Markov Models for Speech Recognition,' Edinburgh Univ., 1990