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SPEECH ENHANCEMENT BASED ON SECOND ORDER ARCHITECTURE AND INFORMATION MAXIMIZATION THEORY

SPEECH ENHANCEMENT BASED ON SECOND ORDER ARCHITECTURE AND INFORMATION MAXIMIZATION THEORY *
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摘要 CHITECTURE AND INFORMATION MAXIMIZATION THEORYTX@虞晓@胡光锐@陈玮IntroductionThebroaduseofspeechrecognitiondemandsen-hancementofnoisyspe... 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.
出处 《Journal of Shanghai Jiaotong university(Science)》 EI 1998年第2期58-62,共5页 上海交通大学学报(英文版)
关键词 SPEECH ENHANCEMENT BLIND signal separation INFORMATION MAXIMIZATION ANC speech enhancement blind signal separation information maximization ANC
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