Thai Phoneme Segmentation using Dual-Band Energy Contour

  • Ratsameewichai, S. (Electronic Circuits and Systems Research Laboratory, Department of Electrical Engineering, Chiang Mai University) ;
  • Theera-Umpon, N. (Electronic Circuits and Systems Research Laboratory, Department of Electrical Engineering, Chiang Mai University) ;
  • Vilasdechanon, J. (Electronic Circuits and Systems Research Laboratory, Department of Electrical Engineering, Chiang Mai University) ;
  • Uatrongjit, S. (Electronic Circuits and Systems Research Laboratory, Department of Electrical Engineering, Chiang Mai University) ;
  • Likit-Anurucks, K. (Electronic Circuits and Systems Research Laboratory, Department of Electrical Engineering, Chiang Mai University)
  • Published : 2002.07.01

Abstract

In this paper, a new technique for Thai isolated speech phoneme segmentation is proposed. Based on Thai speech feature, the isolated speech is first divided into low and high frequency components by using the technique of wavelet decomposition. Then the energy contour of each decomposed signal is computed and employed to locate phoneme boundary. To verity the proposed scheme, some experiments have been performed using 1,000 syllables data recorded from 10 speakers. The accuracy rates are 96.0, 89.9, 92.7 and 98.9% for initial consonant, vowel, final consonant and silence, respectively.

Keywords