Volume 27 Issue 4
Apr.  2001
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WANG Yu-fang, YIN Bao-lin. Adaptive Voiced/Unvoiced Segmentation for Mandarin Syllable[J]. Journal of Beijing University of Aeronautics and Astronautics, 2001, 27(4): 409-412. (in Chinese)
Citation: WANG Yu-fang, YIN Bao-lin. Adaptive Voiced/Unvoiced Segmentation for Mandarin Syllable[J]. Journal of Beijing University of Aeronautics and Astronautics, 2001, 27(4): 409-412. (in Chinese)

Adaptive Voiced/Unvoiced Segmentation for Mandarin Syllable

  • Received Date: 20 Sep 2000
  • Publish Date: 30 Apr 2001
  • Discrete Wavelet Transformation(DWT) is used to realize voiced/unvoiced segmentation for Mandarin syllable.The algorithm is speaker-independent and robust for different sample rate and background noise, which defines the proper scale of DWT adaptively. Several experiments in different conditions,such as male /female,different sample rate and SNR, are given. It can achieve 99.44% for clean speech, and 99.20% for different SNR value. The effectiveness and robustness of the algorithm for noise and different speaker are proven by the experimental results.

     

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  • [1] Burgnara F, Falavigna D, Omologo M. Automatic segmentation and labeling of speech based on hidden Markov models[J]. Speech Communication, 1993,12:357~370. [2] Qi Yingyong,Hunt Bobby R. Voiced-unvoiced-silence classification of speech using hybrid features and a network classifier[J]. IEEE Transactions on Speech and Audio Processing, 1993,1(2):250~255. [3] Medan Y, Yair E, Chazan D. Super resolution pitch determination of speech signals[J]. IEEE Transactions on Signal Processing, 1991,39(1):40~48. [4] Lin Ming-tzaw, Lee Ching-kuen, Lin Chin-yi. Consonant/vowel segmentation for Mandarin syllable recognition[J]. Computer Speech and Language,1999,13:207~222. [5] Kadambe S, Boudreaux-Bartels S F. Application of the wavelet transform for pitch detection of speech signals[J]. IEEE Transactions on Information Theory, 1992,38(2):917~924.
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