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Volume 19 Issue 2
Mar.  1997
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Cheng Jun, Yi kechu, Li Bingbing. A TONE RECOGNIZER USING WAVELET TRANSFORM AND HIDDEN MARKOV MODEL[J]. Journal of Electronics & Information Technology, 1997, 19(2): 177-182.
Citation: Cheng Jun, Yi kechu, Li Bingbing. A TONE RECOGNIZER USING WAVELET TRANSFORM AND HIDDEN MARKOV MODEL[J]. Journal of Electronics & Information Technology, 1997, 19(2): 177-182.

A TONE RECOGNIZER USING WAVELET TRANSFORM AND HIDDEN MARKOV MODEL

  • Received Date: 1995-04-05
  • Rev Recd Date: 1995-09-21
  • Publish Date: 1997-03-19
  • This paper presents a tone recognizer for Mandarin speech using a combination of wavelet transforming and hiddefi Markov modeling techniques. The evaluation of pitch periods is exactly performed by a pitch detector which is based on the singularity detection of signal and multiresolution analysis with wavelet transform. The hidden Markov models with partitioned Gaussian mixtures(PGM) are used for tone recognition. In implementing the Viterbi algorithm for HMM s, a recursive relation is derived to improve th...
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  • 拉宾纳 L R,谢弗 R W.语音信号数字处理.北京:科学出版社,1983,第7.3节.[2]Yang W, Lee J, Chang Y, Wang H. Hidden A4arkov Model for mandarin lexical tone recognition. IEEE Trans. on ASSP, 1988, ASSP-36(7): 988-992.[3]Mallat S, Zhong S. Characterization of signals from multiscale edges. IEEE Trans. on PAMI, 1992, PAMI-14(7): 710-732.[4]程俊,张璞,戴善荣,易克初.小波变换用于信号突变的检测.通信学报,1995, 16(3): 96-104.[5]Kadambe S, Boudreaux-Bartels G F. Application of the wavelet transform for pitch detection of[6]speech signals. IEEE Trans. on IT, 1992, IT-38(2): 917-924.[7]Cheng J, Zhang P, Dai S R, Hu Z. An event based pitch detector using fast wavelet transform. In ed.Yuan B Z. Proceeding of International Conference on Signal Processing(vol.l). Beijing: International Academic Publishers, 1993, 683-686.[8]Juang B H, Rabiner L R. Mixture autoregressive hidden Markov models for speech signals. IEEE Trans. on ASSP, 1985, ASSP-33(6): 1404-1413.[9]Lee Y, Lee L. Continuous hidden Markov models integrating transitional and instantaneous features for Mandarin syllable recognition[J].Computer Speech and Language.1993, 7:247-263[10]胡征,杨有为.矢量量化原理与应用.西安:西安电子科技大学出版社,1988,第二章.
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