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基于相邻频点幅度相关的语音信号盲源分离
引用本文:姜卫东,陆佶人,张宏滔,高明生.基于相邻频点幅度相关的语音信号盲源分离[J].电路与系统学报,2005,10(3):1-4.
作者姓名:姜卫东  陆佶人  张宏滔  高明生
作者单位:1. 东南大学,无线电系,江苏,南京,210096;海军工程大学,电子工程学院,湖北,武汉,430033
2. 东南大学,无线电系,江苏,南京,210096
基金项目:国家重大基础研究项目资助课题(JC200202030200004)
摘    要:排序和幅度不一致性是在频域进行信号盲源分离的主要困难。针对语音信号邻近频点间信号幅度相关性能良好这一特点,本文提出基于相邻频点间幅度相天的盲源分离算法,用以消除卷积信号盲源分离过程中排序不确定性。本算法理论简单,稳健性好。仿真结果表明该方法对卷积混合后的语音信号能得到较好的分离效果,并且耗时较短。

关 键 词:盲源分离  语音信号  相邻频点  幅度相关
文章编号:1007-0249(2005)03-0001-04
修稿时间:2004年9月20日

Blind source separation of speech signals based on the amplitude correlation of neighbour bins
JIANG Wei-dong,LU Ji-ren,ZHANG Hong-tao,GAO Ming-sheng.Blind source separation of speech signals based on the amplitude correlation of neighbour bins[J].Journal of Circuits and Systems,2005,10(3):1-4.
Authors:JIANG Wei-dong  LU Ji-ren  ZHANG Hong-tao  GAO Ming-sheng
Abstract:Indeterminacies in amplitude and permutation are the two main cumbersome aspects for blind signal separation in frequency domain. Based on the fact that there is a good amplitude correlation between neighbour bins of a speech signal, we presented a new blind source separation method that can eliminate the permutation indeterminacy. Since there is no complicated mathematic derivation in this method, it is relatively simple in theory. Furthermore, the outcome of multiply simulation experiments confirmed its validity in blind source separation of speech signals. In addition, this method is robust and time saving.
Keywords:blind signal separation  speech signals  neighbour bins  amplitude correlation
本文献已被 CNKI 维普 万方数据 等数据库收录!
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