Speaker Identification: New Spectral Feature Extraction Techniques: Linear and nonlinear modeling techniques - Couverture souple

Deshpande, Mangesh; Holambe, Raghunath

 
9783845404639: Speaker Identification: New Spectral Feature Extraction Techniques: Linear and nonlinear modeling techniques
Couverture souple
ISBN 10 : 3845404639 ISBN 13 : 9783845404639
Editeur : LAP LAMBERT Academic Publishing, 2011

Synopsis

Automatic speaker recognition has been an active research area for more than four decades and the technology has gradually matured to a state ready for real life applications. However, contamination by additive noise becomes a major obstacle to commercialize the use of this technique. A more realistic way to try to improve on the situation is to search for ways to improve the robustness of the features used. Therefore, this book addresses the issue of speaker identification under mismatched conditions. The main focus of the book is on the low-level spectral features. This book covers the feature extraction process, including the speech production and perception systems. The importance of high frequency components and the phase information (which is normally discarded by most of the state-of-the art features) are investigated and different noise robust algorithms are proposed which makes use of wavelet packet transform, Teager energy operator and AM-FM model. This book would help the researchers and engineers to grasp the basics and quickly move on to more sophisticated techniques.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Automatic speaker recognition has been an active research area for more than four decades and the technology has gradually matured to a state ready for real life applications. However, contamination by additive noise becomes a major obstacle to commercialize the use of this technique. A more realistic way to try to improve on the situation is to search for ways to improve the robustness of the features used. Therefore, this book addresses the issue of speaker identification under mismatched conditions. The main focus of the book is on the low-level spectral features. This book covers the feature extraction process, including the speech production and perception systems. The importance of high frequency components and the phase information (which is normally discarded by most of the state-of-the art features) are investigated and different noise robust algorithms are proposed which makes use of wavelet packet transform, Teager energy operator and AM-FM model. This book would help the researchers and engineers to grasp the basics and quickly move on to more sophisticated techniques.

Biographie de l'auteur

Mangesh S. Deshpande, Ph.D.: Professor in the Department of Electronics and Telecommunication Engineering, SRES’s College of Engineering Kopargaon, India. Raghunath S. Holambe, Ph.D.: Professor in the Department of Instrumentation Engineering, SGGS Institute of Engineering and Technology, Nanded, India.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2011
Langue
anglais
ISBN 10 
3845404639
ISBN 13 
9783845404639
Reliure
Broché
Nombre de pages
152
Coordonnées du fabricant
non disponible
Personne responsable
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