| 稀疏分量分析在欠定语音信号盲分离中的应用 |
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| 引用本文： | 赵卫杰,任明荣,张亚庭. 稀疏分量分析在欠定语音信号盲分离中的应用[J]. 电声技术, 2010, 34(3): 46-49,63 |
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| 作者姓名： | 赵卫杰 任明荣 张亚庭 |
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| 作者单位： | 北京工业大学电子信息与控制工程学院,北京,100124;国家教育部数字社区工程研究中心,北京,100124;北京工业大学电子信息与控制工程学院,北京,100124;国家教育部数字社区工程研究中心,北京,100124;北京工业大学电子信息与控制工程学院,北京,100124;国家教育部数字社区工程研究中心,北京,100124 |
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| 摘 要： | 研究了基于两步法的欠定语音信号盲分离。针对混合信号散点图在原点中心混叠程度过高的缺点,提出了弭灭圆K均值聚类算法,提高了混叠矩阵的估计精度。结合时频分析算法实现了欠定瞬时线性混叠语音信号的盲分离,取得了较好的分离效果。
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| 关 键 词： | 稀疏分量分析 K均值聚类 欠定 盲分离 |
Sparse Component Analysis and Application for Underdetermined Blind Source Separation of Speech Signals |
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| ZHAO Wei-jie,REN Ming-rong,ZhANG Ya-ting. Sparse Component Analysis and Application for Underdetermined Blind Source Separation of Speech Signals[J]. Audio Engineering, 2010, 34(3): 46-49,63 |
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| Authors: | ZHAO Wei-jie REN Ming-rong ZhANG Ya-ting |
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| Affiliation: | 1. School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China; 2. The Ministry of Education P.R.C Engineering Research Center of Digital Community, Beijing 100124, China) |
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| Abstract: | Sparse component analysis is a signal processing method based on sparse representation. In order to overcome the shortcoming that the aliasing level of the mixed-signal scatter at the origin center is too high, based on sparse component analysis method, a new K means clustering algorithm which can estimate mixing matrix more effectively is proposed. Combined with time-frequency analysis, the proposed algorithm can achieve the instantaneous linear aliasing blind separation of speech signals and get a good separation effect. |
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| Keywords: | sparse component analysis K means clustering underdetermined blind source separation |
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