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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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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Book Description Omniscriptum Gmbh & Co. Kg. 2011-06-21, 2011. paperback. Condition: New. Seller Inventory # 9783639363098
Book Description VDM Verlag, 2011. PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # LQ-9783639363098
Book Description VDM Verlag, 2011. PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # LQ-9783639363098
Book Description VDM Verlag Jun 2011, 2011. Taschenbuch. Condition: Neu. 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
Book Description VDM Verlag Jun 2011, 2011. Taschenbuch. Condition: Neu. 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
Book Description VDM Verlag Jun 2011, 2011. Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand 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
Book Description VDM Verlag, Germany, 2011. Paperback. Condition: New. Language: English. Brand new Book. 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 # KNV9783639363098
Book Description VDM Verlag Dr. Müller, 2011. Condition: New. This book is printed on demand. Seller Inventory # I-9783639363098