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| 一种有效的语音信号盲分离方法 | |
| 引用本文： | 徐丽琴,何晓川. 一种有效的语音信号盲分离方法[J]. 现代电子技术, 2010, 33(19): 87-89,93 |
| 作者姓名： | 徐丽琴 何晓川 |
| 作者单位： | 1. 西安邮电学院,电信系,陕西,西安,710121 2. 西安电子科技大学,电子工程学院,陕西,西安,710071 |
| 基金项目： | 国家自然科学基金资助项目，陕西省自然科学基础研究计划项目，高等学校博士学科点专项科研基金资助项目，西安邮电学院中青年基金项目 |
| 摘 要： | 频域盲语音信号分离存在着排序模糊问题，提出一种基于相邻频点幅度相关和DOA估计相结合的解排序模糊方法，并且通过对一系列预处理（白化）、独立分量分析和后处理算法的优化和有机组合，很好地实现了卷积混合语音信号的盲分离。用真实录制的语音信号进行了仿真实验，恢复出来的源信号的信干比较分离之前提高了约13dB，证明了算法的有效性。 |
| 关 键 词： | 盲源分离 独立分量分析 排列模糊 语音信号处理 |
Effective Method of Blind Separation for Speech Signal |
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| XU Li-qin,HE Xiao-chuan. Effective Method of Blind Separation for Speech Signal[J]. Modern Electronic Technique, 2010, 33(19): 87-89,93 | |
| Authors: | XU Li-qin HE Xiao-chuan |
| Affiliation: | XU Li-qin , HE Xiao-cbuan (1. Xi＇an University of Post ＆ Telecommunications, Xi＇an 710121, China; 2. School of Electronics Engineering, Xidian University, Xi＇an 710071, China) |
| Abstract: | Since the permutation problem exists in frequency domain blind separation of speech signals, a method based on the amplitude correlation of adjacent frequency points and DOA estimation are proposed for solving the problem. The blind separation of the convolution mixing speech signals is implemented by the optimization and conbination of a set of preprocess- ing method （whitening）, independent component analysis and post-processing algorithm. Simulation results with real record- ing speech signals show that the signal interference of the recovered signals can be increased by 13 dB than before. It proves the validity of the proposed method. |
| Keywords: | blind source separation independent component analysis fuzzy permutation speech signal processing |
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