Abstract��
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.
WANG Yu-fang, YIN Bao-lin.Adaptive Voiced/Unvoiced Segmentation for Mandarin Syllable[J] JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2001,V27(4): 409-412
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2001, Vol. 27 
