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SPEECH ENHANCEMENT BASED ON SECOND ORDER ARCHITECTURE AND INFORMATION MAXIMIZATION THEORY
作者姓名:虞晓  胡光锐  陈玮
作者单位:Dept. of Electronic Engineering,Shanghai Jiaotong Univ.,China
摘    要:CHITECTURE AND INFORMATION MAXIMIZATION THEORYTX@虞晓@胡光锐@陈玮IntroductionThebroaduseofspeechrecognitiondemandsen-hancementofnoisyspe...


SPEECH ENHANCEMENT BASED ON SECOND ORDER ARCHITECTURE AND INFORMATION MAXIMIZATION THEORY *
Yu Xiao,Hu Guangrui,Chen Wei.SPEECH ENHANCEMENT BASED ON SECOND ORDER ARCHITECTURE AND INFORMATION MAXIMIZATION THEORY[J].Journal of Shanghai Jiaotong university,1998(2).
Authors:Yu Xiao  Hu Guangrui  Chen Wei
Abstract:Based on the idea of adaptive noise cancellation (ANC), a second order architecture is proposed for speech enhancement. According as the Information Maximization theory, the corresponding gradient descend algorithm is proposed. With real speech signals in the simulation, the new algorithm demonstrates its good performance in speech enhancement. The main advantage of the new architecture is that clean speech signals can be got with less distortion.
Keywords:speech enhancement  blind signal separation  information maximization  ANC
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