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�������պ����ѧѧ�� 2001, Vol. 27 Issue (4) :409-412    DOI:
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Adaptive Voiced/Unvoiced Segmentation for Mandarin Syllable
WANG Yu-fang, YIN Bao-lin*
Beijing University of Aeronautics and Astronautics, Dept. of Computer Science and Engineering

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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.
Keywords�� discretization   digital signals   adaptive   wavelet transform   voiced/unvoiced segmentation   speaker-independent     
Received 2000-09-20;
About author: ��ع��(1974-),Ů,�ӱ�ʯ��ׯ��,��ʿ��,100083,����.
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��ع��, ������.һ������Ӧ�ĺ�����ͨ��������/�����ֶη���[J]  �������պ����ѧѧ��, 2001,V27(4): 409-412
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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http://bhxb.buaa.edu.cn//CN/     ��     http://bhxb.buaa.edu.cn//CN/Y2001/V27/I4/409
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