| 王国鹏,刘郁林,罗颖光.结合主分量分析与DOA估计的语音盲分离[J].声学技术,2009,(5):624~628 |
| 结合主分量分析与DOA估计的语音盲分离 |
| Blind speech separation combining with principal component analysis and DOA estimation |
| 投稿时间：2008-08-13 修订日期：2008-10-30 |
| DOI： |
| 中文关键词: 语音盲分离 主分量分析 波达方向 混合矩阵估计 |
| 英文关键词: blind speech separation PCA DOA mixing matrix estimation |
| 基金项目:国家自然科学基金(60672157,60672158);重庆市自然科学基金(CSTC2005BB4219) |
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| 中文摘要: |
| 在欠定语音盲分离中,W-分离正交性假设通常使问题简化,但这种简化是以降低分离性能为代价。在语音信号满足近似W-分离正交性的假设下,提出利用主分量分析(PCA)检测只有一个源信号存在的时频点,检测出的时频点均满足W-分离正交性,因此提高了混合矩阵的估计精度。通过从混合矩阵中估计源信号的波达方向,可以较好地解决置换模糊问题。仿真结果表明,提出的方法与经典的DUET方法相比具有更优的性能,平均信干比提高了2.77dB。 |
| 英文摘要: |
| The assumption of W-disjoint orthogonality(W-DO) can simplify the problem of blind separation for under-determined mixed speech signals at the cost of decreasing the separation performance.A method based on principal component analysis(PCA) is proposed to detect the time-frequency cells where only one source exists,under the as-sumption of approximate W-DO of speech signal.All the detected time frequency cells satisfy the W-DO,so that the estimation precision of the mixing matrix is improved.The direction of arrival(DOA) of sources is estimated from the mixing matrix and is exploited to solve the permutation ambiguity problem.Simulation results demonstrate that the proposed method outperforms the typical DUET method,the average signal to interference(SIR) is improved by 2.77dB. |
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