| 一种自适应的汉语普通话音节清/浊音分段方法 |
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| 引用本文： | 王毓芳,尹宝林.一种自适应的汉语普通话音节清/浊音分段方法[J].北京航空航天大学学报,2001,27(4):409-412. |
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| 作者姓名： | 王毓芳 尹宝林 |
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| 作者单位： | 北京航空航天大学 计算机科学与工程系 |
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| 摘 要： | 采用离散小波变换(DWT)实现汉语普通话音节的清/浊音分段,算法根据信号性质自适应地确定离散小波变换的尺度,具有较好的非特定人性质,并且对不同采样率及环境噪声有较强的适应性.测试了算法在男、女声,不同采样率及不同信噪比下的清/浊音分段算法的性能.在无噪情况下正确率为99.44%,在信噪比为30dB、15dB及5dB时正确率均可达99.20%,实验结果证明了算法的有效性和对噪声及非特定人的顽健性.
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| 关 键 词： | 离散化 数字信号 自适应 小波变换 清/浊音分段 非特定人 |
| 文章编号： | 1001-5965(2001)04-0409-04 |
| 收稿时间： | 2000-09-20 |
| 修稿时间： | 2000年9月20日 |
Adaptive Voiced/Unvoiced Segmentation for Mandarin Syllable |
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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. |
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| Authors: | WANG Yu-fang YIN Bao-lin |
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| Institution: | 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. |
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| Keywords: | discretization digital signals adaptive wavelet transform voiced/unvoiced segmentation speaker independent |
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