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Noise Robust Automatic Speech Recognition: A Multi-stream Perspective - Couverture souple

Misra, Hemant

 
9783639149609: Noise Robust Automatic Speech Recognition: A Multi-stream Perspective
Couverture souple
ISBN 10 : 3639149602 ISBN 13 : 9783639149609
Editeur : VDM Verlag, 2009

Synopsis

The recent advancements in automatic speech recognition (ASR) systems have expedited their commercial deployment. Still, a major challenge faced by the current ASR systems is their poor performance for any mismatch between training and testing conditions. This book presents an in-depth analysis of multi- stream combination approach to improve the robustness of ASR systems for mismatch caused by additive noise. The book also discusses that multi-stream approach is complementary to other approaches for noise robustness, and how they can be used together. The selection of feature streams and allocation of weights to each feature stream are two important issues in multi-stream. Both the issues are analyzed, and a step-wise approach is presented to realize a significant improvement in performance by a multi-stream system compared to that of a state-of-the-art system. The analysis proposed in this work can also be applied to other pattern recognition tasks such as speaker recogntion and text-processing, rendering this book useful for a wide audience ranging from beginner to advance stage users working in ASR as well as other pattern recognition domains.

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

Présentation de l'éditeur

The recent advancements in automatic speech recognition (ASR) systems have expedited their commercial deployment. Still, a major challenge faced by the current ASR systems is their poor performance for any mismatch between training and testing conditions. This book presents an in-depth analysis of multi- stream combination approach to improve the robustness of ASR systems for mismatch caused by additive noise. The book also discusses that multi-stream approach is complementary to other approaches for noise robustness, and how they can be used together. The selection of feature streams and allocation of weights to each feature stream are two important issues in multi-stream. Both the issues are analyzed, and a step-wise approach is presented to realize a significant improvement in performance by a multi-stream system compared to that of a state-of-the-art system. The analysis proposed in this work can also be applied to other pattern recognition tasks such as speaker recogntion and text-processing, rendering this book useful for a wide audience ranging from beginner to advance stage users working in ASR as well as other pattern recognition domains.

Biographie de l'auteur

Dr. Hemant Misra is an active researcher in the areas of automatic speech/speaker recognition, text processing and machine learning, and is a post-doc researcher at University of Glasgow. His academic and industry research career spans more than a decade. He completed M.S. and Ph.D. from IIT Madras, India, and EPFL, Switzerland, respectively.

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

Éditeur
VDM Verlag
Date d'édition
2009
Langue
anglais
ISBN 10 
3639149602
ISBN 13 
9783639149609
Reliure
Broché
Nombre de pages
172
Coordonnées du fabricant
non disponible
Personne responsable
non disponible