Noise Robust Automatic Speech Recognition : A Multi-stream Perspective

Hemant Misra

ISBN 10: 3639149602 / ISBN 13: 9783639149609

Published by VDM Verlag Dr. Müller, 2009

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - The recent advancements in automatic speechrecognition (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 andtesting conditions. This book presents an in-depth analysisof multi-stream combination approach to improve the robustnessof ASR systems for mismatch caused by additive noise. Thebook also discusses that multi-stream approach is complementaryto other approaches for noise robustness, and how they can beused together. The selection of feature streams andallocation of weights to each feature stream are two important issues inmulti-stream. Both the issues are analyzed, and a step-wiseapproach is presented to realize a significant improvement inperformance by a multi-stream system compared to that of astate-of-the-art system. The analysis proposed in this work can also be applied to other pattern recognitiontasks such as speaker recogntion and text-processing, renderingthis book useful for a wide audience ranging from beginner to advancestage users working in ASR as well as other pattern recognitiondomains.

Seller Inventory # 9783639149609

Bibliographic Details

• Title: Noise Robust Automatic Speech Recognition : A Multi-stream Perspective
• Publisher: VDM Verlag Dr. Müller
• Publication Date: 2009
• Language: English
• ISBN 10: 3639149602
• ISBN 13: 9783639149609
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 22W x 15H x 1D centimeters 22 centimeters width by 15 centimeters height by 1 centimeters depth
• Weight: 272 grams

About this title

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.

About the Author

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.