Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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A Study Of The Meaningful Speech Sound Block Classification Based On The Discrete Wavelet Transform

Discrete Wavelet Transform을 이용한 음성 추출에 관한 연구

  • Baek, Han-Wook (Dept. of Control & Instrumentation Engineering, Kwangwoon Univ.) ;
  • Chung, Chin-Hyun (Dept. of Control & Instrumentation Engineering, Kwangwoon Univ.)
  • 백한욱 (광운 대학교 제어계측 공학과) ;
  • 정진현 (광운 대학교 제어계측 공학과)
  • Published : 1999.07.19
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Abstract

The meaningful speech sound block classification provides very important information in the speech recognition. The following technique of the classification is based on the DWT (discrete wavelet transform), which will provide a more fast algorithm and a useful, compact solution for the pre-processing of speech recognition. The algorithm is implemented to the unvoiced/voiced classification and the denoising.

Keywords