A Study on the Voiced, Unvoiced and Silence Classification

유.무성음 및 묵음 식별에 관한 연구

  • 김명환 (광운대학 대학원 전자공학과)
  • Published : 1984.12.01

Abstract

This paper reports on a Voiced-Unvoiced-Silence Classification of speech for Korean Speech Recognition. In this paper, it is describe a method which uses a Pattern Recognition Technique for classifying a given speech segment into the three classes. Best result is obtained with the combination using ZCR, P1, Ep and classification error rate is less than 1%.

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