| 多人声混叠语音信号的盲源分离算法研究 |
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| 引用本文： | 栗科峰,栗明,李小魁.多人声混叠语音信号的盲源分离算法研究[J].信息通信,2011(1):29-32. |
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| 作者姓名： | 栗科峰 栗明 李小魁 |
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| 作者单位： | 河南工程学院,电气信息工程系,河南,郑州·451191 |
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| 基金项目： | 河南工程学院青年基金资助项目 |
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| 摘 要： | 介绍了一种基于峭度的盲源分离算法,利用峭度极大来度量极大化非高斯性,通过渐进正交化的不动点迭代找到独立成分,并对带噪多人声混叠语音信号进行分离仿真,从而提取出感兴趣的目标语音,验证了该算法的可行性;通过与其他盲源分离算法的分离结果进行定性和定量的对比分析,验证该算法的有效性和应用前景.
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| 关 键 词： | 峭度 盲源分离 极大化非高斯性 |
Research On Blind Source Separation Algorithm of Multiplayer Mixed-Speech Signal |
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| Li kefeng,Li ming,Li xiaokui.Research On Blind Source Separation Algorithm of Multiplayer Mixed-Speech Signal[J].Information & Communications,2011(1):29-32. |
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| Authors: | Li kefeng Li ming Li xiaokui |
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| Affiliation: | Li kefeng,Li ming,Li xiaokui(Henan Institute of Engineering,Department of Electrical Information Engineering,ZhengZhou,450052) |
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| Abstract: | Introduce a method based on kurtosis blind source separation algorithm,using kurtosis maximization to measure Maximization of Nongaussianity,then Through Gram-Schmidt orthogonalization fixed-point iteration to find the independent components,and with noisy model of the separation of voice signal simulation,thus extracted interested target voice to verify the feasibility of the algorithm;By comparison with other BSS algorithm of separation result are the quantitative and qualitative analysis,verify the effec... |
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| Keywords: | Kurtosis BSS(Blind Source Separation) Maximization of Nongaussianity |
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