Research of City Engineering Speech Blind Separation Algorithms Based on Independent Vector Analysis
Aiming at the rapid expansion of urbanization,This paper proposed a new independent vector analysis model,it is an extension of ICA for independent multivariate speech where the sources are mixed component-wise.Formulation that can solve the frequency-domain blind source separation problem,which is very useful in directly applying Newtons method to a contrast function of complex-valued variables.Fast fixed-point independent vector analysis blind source separation algorithms are derived.The real speech signal are used to demonstrate the good converge and accuracy of the algorithms by simulating.
Blind Separation Independent Vector Convolutive Mixture Voice Signal
Zhuo Yang Chun-ming Li
Electromechanics Department,Zhengzhou Tourism College,Zhengzhou 450009,Peoples R China
国际会议
沈阳
英文
1581-1584
2012-09-26（万方平台首次上网日期，不代表论文的发表时间）