Speaker Identification: New Spectral Feature Extraction Techniques: Linear and nonlinear modeling techniques - Softcover
Inhaltsangabe
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.
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Über die Autorin bzw. den Autor
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.
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Speaker Identification: New Spectral Feature Extraction Techniques
Verlag:
LAP LAMBERT Academic Publishing Jun 2011, 2011
ISBN 10: 3845404639
ISBN 13: 9783845404639
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 152 pp. Englisch. Bestandsnummer des Verkäufers 9783845404639
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Speaker Identification: New Spectral Feature Extraction Techniques
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LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3845404639
ISBN 13: 9783845404639
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Speaker Identification: New Spectral Feature Extraction Techniques
Verlag:
LAP LAMBERT Academic Publishing Jun 2011, 2011
ISBN 10: 3845404639
ISBN 13: 9783845404639
Neu
Taschenbuch
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 152 pp. Englisch. Bestandsnummer des Verkäufers 9783845404639
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Speaker Identification: New Spectral Feature Extraction Techniques : Linear and nonlinear modeling techniques
Verlag:
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3845404639
ISBN 13: 9783845404639
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Bestandsnummer des Verkäufers 9783845404639
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Speaker Identification: New Spectral Feature Extraction Techniques | Linear and nonlinear modeling techniques
Verlag:
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3845404639
ISBN 13: 9783845404639
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Taschenbuch. Zustand: Neu. Speaker Identification: New Spectral Feature Extraction Techniques | Linear and nonlinear modeling techniques | Mangesh Deshpande (u. a.) | Taschenbuch | 152 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783845404639 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 106910559
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Speaker Identification: New Spectral Feature Extraction Techniques: Linear and nonlinear modeling techniques
Verlag:
LAP LAMBERT Academic Publishing, 2011
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ISBN 13: 9783845404639
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