| 基于Gauss混合模型的清浊音恢复改进算法 |
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| 引用本文： | 计哲,徐敬德,常亮,崔慧娟,唐昆.基于Gauss混合模型的清浊音恢复改进算法[J].清华大学学报(自然科学版),2011(11):1661-1665. |
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| 作者姓名： | 计哲 徐敬德 常亮 崔慧娟 唐昆 |
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| 作者单位： | 清华大学电子工程系清华信息科学与技术国家实验室(筹); |
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| 基金项目： | 国家自然科学基金资助项目(60572081) |
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| 摘 要： | 为提高子带清浊音(unvoiced/voiced,U/V)解码端恢复算法在不同能量电平下的鲁棒性,提出了一种改进型能量自适应U/V参数解码端恢复算法。通过跟踪长时能量的变化轨迹,在Gauss混合模型(Gaussian mixed model,GMM)下,用归一化的能量参数和线谱频率参数(line spec-tral frequency,LSF)对U/V参数的分布特性进行估计。测试结果表明:在较低的能量电平下,与用绝对能量对U/V参数进行恢复的算法相比,该能量自适应U/V参数恢复算法能够将清浊音误判率降低10%～25%,并将合成语音的平均意见得分(mean opinion score,MOS)提高0.03～0.09,改善了算法的性能。
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| 关 键 词： | 语音编码 Gauss混合模型 特征参数 线谱频率 清浊音参数 |
Improved recovery algorithm for unvoiced/voiced parameters based on GMM |
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| JI Zhe,XU Jingde,CHANG Liang,CUI Huijuan,TANG Kun.Improved recovery algorithm for unvoiced/voiced parameters based on GMM[J].Journal of Tsinghua University(Science and Technology),2011(11):1661-1665. |
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| Authors: | JI Zhe XU Jingde CHANG Liang CUI Huijuan TANG Kun |
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| Institution: | JI Zhe,XU Jingde,CHANG Liang,CUI Huijuan,TANG Kun(Tsinghua National Laboratory for Information Science and Technology,Department of Electronic Engineering,Tsinghua University,Beijing 100084,China) |
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| Abstract: | The robustness of an unvoiced/voiced(U/V) speech classification recovery algorithm is improved by an energy self-adaption algorithm for the recovery of the U/V parameter.The algorithm traces the long-time changes of the energy level to estimate the statistical distribution of the U/V parameter from the normalized energy and the line spectral frequency(LSF) parameters based on the Gaussian mixed model(GMM).Tests show that for relatively low energy levels,this energy self-adaption algorithm reduces the U/V cl... |
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| Keywords: | speech coding Gaussian mixed model(GMM) characteristic parameter line spectral frequency(LSF) unvoiced/voiced(U/V) parameter |
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