Articles liés à Application of Neural Network for Voice Biometrics:...

Application of Neural Network for Voice Biometrics: Preprocessors for NN Speaker Verification - Couverture souple

Shaikh Salleh, Sheikh Hussain; Jack, Mervyn; McInnes, Fergus

 
9783639363098: Application of Neural Network for Voice Biometrics: Preprocessors for NN Speaker Verification
Couverture souple
ISBN 10 : 3639363094 ISBN 13 : 9783639363098
Editeur : VDM Verlag Dr. Müller, 2011

Synopsis

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.

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

Présentation de l'éditeur

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.

Biographie de l'auteur

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.

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

Éditeur
VDM Verlag Dr. Müller
Date d'édition
2011
Langue
anglais
ISBN 10 
3639363094
ISBN 13 
9783639363098
Reliure
Broché
Nombre de pages
208
Coordonnées du fabricant
non disponible
Personne responsable
non disponible