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扩展联合对角化算法及其在语音分离中的应用
引用本文:江川,江太辉. 扩展联合对角化算法及其在语音分离中的应用[J]. 五邑大学学报(自然科学版), 2008, 22(4): 10-15
作者姓名:江川  江太辉
作者单位:五邑大学,信息学院,广东,江门,529020
摘    要:用扩展联合对角化(JADE)算法对混合语音信号进行盲源分离,并对分离前后的语音信号的波形和频谱进行了分析比较.实验表明,JADE算法在混合语音信号的分离中是有效的.

关 键 词:盲信号处理  盲源分离  扩展联合对角化算法  语音信号分离

The Joint Approximative Diagonalization of Eigenmatrix Algorithm and its Application in Speech Separation
JIANG Chuan,JIANG Tai-hui. The Joint Approximative Diagonalization of Eigenmatrix Algorithm and its Application in Speech Separation[J]. Journal of Wuyi University(Natural Science Edition), 2008, 22(4): 10-15
Authors:JIANG Chuan  JIANG Tai-hui
Affiliation:(School of Information, Wuyi University, Jiangmen 529020, China)
Abstract:The joint approximative diagonalization of eigenmatrix is introduced in this paper and some experiments on blind source separation of mixed voice signals are made. The waveform and spectrum of the speech signals before and after separation are compared and analyzed. Experiments show that JADE is an effective algorithm for the blind source separation of the mixed speech signals.
Keywords:blind signal processing  blind source separation (BSS)  JADE algorithm  speech signal separation
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