This book is presenting a fresh look into the field of automatic speaker verification technique via artificial neural networks. It is intended as a text for postgraduate students in applied physics, electrical and electronics engineering. It can exclusively serve as a reference for the scientists who are working in the area of automatic speaker verification/identification techniques. Traditional password or token based authentication schemes are insecure and are being replaced by biometric authentication mechanisms. Voiceprints were one of the first biometrics to be widely used. And artificial neural network is one of the most efficient, speedy and reliable tool by which an automatic speaker verification (ASV) system can be developed. The primary aim of this book is to describe an ASV system using artificial neural network which can be used in security purpose, criminal identification, etc. The primary intends are to increase the speed of the system maintaining optimum accuracy and improve its noise performance.
"Sinopsis" puede pertenecer a otra edición de este libro.
This book is presenting a fresh look into the field of automatic speaker verification technique via artificial neural networks. It is intended as a text for postgraduate students in applied physics, electrical and electronics engineering. It can exclusively serve as a reference for the scientists who are working in the area of automatic speaker verification/identification techniques. Traditional password or token based authentication schemes are insecure and are being replaced by biometric authentication mechanisms. Voiceprints were one of the first biometrics to be widely used. And artificial neural network is one of the most efficient, speedy and reliable tool by which an automatic speaker verification (ASV) system can be developed. The primary aim of this book is to describe an ASV system using artificial neural network which can be used in security purpose, criminal identification, etc. The primary intends are to increase the speed of the system maintaining optimum accuracy and improve its noise performance.
"Sobre este título" puede pertenecer a otra edición de este libro.
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is presenting a fresh look into the field of automatic speaker verification technique via artificial neural networks. It is intended as a text for postgraduate students in applied physics, electrical and electronics engineering. It can exclusively serve as a reference for the scientists who are working in the area of automatic speaker verification/identification techniques. Traditional password or token based authentication schemes are insecure and are being replaced by biometric authentication mechanisms. Voiceprints were one of the first biometrics to be widely used. And artificial neural network is one of the most efficient, speedy and reliable tool by which an automatic speaker verification (ASV) system can be developed. The primary aim of this book is to describe an ASV system using artificial neural network which can be used in security purpose, criminal identification, etc. The primary intends are to increase the speed of the system maintaining optimum accuracy and improve its noise performance. 64 pp. Englisch. Nº de ref. del artículo: 9783659809194
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Acharyya AritraDr. Aritra Acharyya is currently working as an Assistant Professor of Department of ECE, Cooch Behar Government Engineering College, W.B., India. His research interests are semiconductor physics, signal processing, etc. Nº de ref. del artículo: 385769468
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Taschenbuch. Condición: Neu. Neuware -This book is presenting a fresh look into the field of automatic speaker verification technique via artificial neural networks. It is intended as a text for postgraduate students in applied physics, electrical and electronics engineering. It can exclusively serve as a reference for the scientists who are working in the area of automatic speaker verification/identification techniques. Traditional password or token based authentication schemes are insecure and are being replaced by biometric authentication mechanisms. Voiceprints were one of the first biometrics to be widely used. And artificial neural network is one of the most efficient, speedy and reliable tool by which an automatic speaker verification (ASV) system can be developed. The primary aim of this book is to describe an ASV system using artificial neural network which can be used in security purpose, criminal identification, etc. The primary intends are to increase the speed of the system maintaining optimum accuracy and improve its noise performance.Books on Demand GmbH, Überseering 33, 22297 Hamburg 64 pp. Englisch. Nº de ref. del artículo: 9783659809194
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book is presenting a fresh look into the field of automatic speaker verification technique via artificial neural networks. It is intended as a text for postgraduate students in applied physics, electrical and electronics engineering. It can exclusively serve as a reference for the scientists who are working in the area of automatic speaker verification/identification techniques. Traditional password or token based authentication schemes are insecure and are being replaced by biometric authentication mechanisms. Voiceprints were one of the first biometrics to be widely used. And artificial neural network is one of the most efficient, speedy and reliable tool by which an automatic speaker verification (ASV) system can be developed. The primary aim of this book is to describe an ASV system using artificial neural network which can be used in security purpose, criminal identification, etc. The primary intends are to increase the speed of the system maintaining optimum accuracy and improve its noise performance. Nº de ref. del artículo: 9783659809194
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Paperback. Condición: Brand New. 64 pages. 8.66x5.91x0.15 inches. In Stock. Nº de ref. del artículo: 3659809195
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