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Speech enhancement in the Karhunen-Loeve expansion domain

This book is devoted to the study of the problem of speech enhancement whose objective is the recovery of a signal of interest (i.e., speech) from noisy observations. Typically, the recovery process is accomplished by passing the noisy observations through a linear filter (or a linear transformation...

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Detalles Bibliográficos
Autores principales: Benesty, Jacob, Chen, Jingdong
Lenguaje:eng
Publicado: Morgan & Claypool Publishers 2011
Materias:
Acceso en línea:http://cds.cern.ch/record/1614206
Descripción
Sumario:This book is devoted to the study of the problem of speech enhancement whose objective is the recovery of a signal of interest (i.e., speech) from noisy observations. Typically, the recovery process is accomplished by passing the noisy observations through a linear filter (or a linear transformation). Since both the desired speech and undesired noise are filtered at the same time, the most critical issue of speech enhancement resides in how to design a proper optimal filter that can fully take advantage of the difference between the speech and noise statistics to mitigate the noise effect as m