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Application of Neural Network for Voice Biometrics: Preprocessors for NN Speaker Verification - Softcover
In this book, the research is concerned with the identification of people (mainly speaker verification) based on a connectionist approach. In particular, the book focuses on the improvement of system performance obtained by certain developments of preprocessed speech signal inputs. Various performance measures are used to evaluate the automatic speaker verification (SV) system for different aspects of performance. The book provides an introduction to the field of automatic speaker recognition. The basic structures as well as classification of the speaker recognition systems are described. The task descriptions for SV such as fixed text, text independent and text prompted are described. This book is also concerned with the application of neural network (NN) models to SV. A hybrid neural network is proposed for speaker verification (SV). The basic idea in this system is the usage of vector quantization preprocessing as the feature extractor. The preprocessing stage measures local spectral similarities and uses this information to train the multi layer perceptrons (MLP). The benefit of this SV systems are its speed and simplicity.
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About the Author:
Sheikh Hussain received BSc (Electrical) from the Bridgeport Univ., US (1988), MEng from Universiti Teknologi Malaysia (UTM) (1995) and PhD (Electrical) from Univ. of Edinburgh, UK in 1997. After joining UTM, he has been involved in research and development, especially in biomedical signal processing, speech processing and biometrics.
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- PublisherVDM Verlag Dr. Müller
- Publication date2011
- ISBN 10 3639363094
- ISBN 13 9783639363098
- BindingPaperback
- Number of pages208
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Application of Neural Network for Voice Biometrics: Preprocessors for NN Speaker Verification
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Application of Neural Network for Voice Biometrics
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Book Description Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this book, the research is concerned with the identification of people (mainly speaker verification) based on a connectionist approach. In particular, the book focuses on the improvement of system performance obtained by certain developments of preprocessed speech signal inputs. Various performance measures are used to evaluate the automatic speaker verification (SV) system for different aspects of performance. The book provides an introduction to the field of automatic speaker recognition. The basic structures as well as classification of the speaker recognition systems are described. The task descriptions for SV such as fixed text, text independent and text prompted are described. This book is also concerned with the application of neural network (NN) models to SV. A hybrid neural network is proposed for speaker verification (SV). The basic idea in this system is the usage of vector quantization preprocessing as the feature extractor. The preprocessing stage measures local spectral similarities and uses this information to train the multi layer perceptrons (MLP). The benefit of this SV systems are its speed and simplicity. 208 pp. Englisch. Seller Inventory # 9783639363098
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Application of Neural Network for Voice Biometrics
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Book Description Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shaikh Salleh Sheikh HussainSheikh Hussain received BSc (Electrical) from the Bridgeport Univ., US (1988), MEng from Universiti Teknologi Malaysia (UTM) (1995) and PhD (Electrical) from Univ. of Edinburgh, UK in 1997. After joining U. Seller Inventory # 4981057
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Application of Neural Network for Voice Biometrics Preprocessors for NN Speaker Verification
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Application of Neural Network for Voice Biometrics Preprocessors for NN Speaker Verification
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ISBN 13: 9783639363098
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Application of Neural Network for Voice Biometrics : Preprocessors for NN Speaker Verification
Published by
VDM Verlag Dr. Müller
(2011)
ISBN 10: 3639363094
ISBN 13: 9783639363098
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Book Description Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this book, the research is concerned with the identification of people (mainly speaker verification) based on a connectionist approach. In particular, the book focuses on the improvement of system performance obtained by certain developments of preprocessed speech signal inputs. Various performance measures are used to evaluate the automatic speaker verification (SV) system for different aspects of performance. The book provides an introduction to the field of automatic speaker recognition. The basic structures as well as classification of the speaker recognition systems are described. The task descriptions for SV such as fixed text, text independent and text prompted are described. This book is also concerned with the application of neural network (NN) models to SV. A hybrid neural network is proposed for speaker verification (SV). The basic idea in this system is the usage of vector quantization preprocessing as the feature extractor. The preprocessing stage measures local spectral similarities and uses this information to train the multi layer perceptrons (MLP). The benefit of this SV systems are its speed and simplicity. Seller Inventory # 9783639363098
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Application of Neural Network for Voice Biometrics: Preprocessors for NN Speaker Verification
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(2011)
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