Robust speech recognition under noisy ambient conditions

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Title Robust speech recognition under noisy ambient conditions
Author Paliwal, Kuldip Kumar; Yao, Kaisheng
Book Title Human-Centric Interfaces for Ambient Intelligence
Year Published 2010
Place of publication Netherlands
Publisher Elsevier, Academic Press
Abstract Automatic speech recognition is critical in natural human-centric interfaces for ambient intelligence. The performance of an automatic speech recognition system, however, degrades drastically when there is a mismatch between training and testing conditions. The aim of robust speech recognition is to overcome the mismatch problem so the result is a moderate and graceful degradation in recognition performance. In this chapter, we provide a brief overview of an automatic speech recognition system, describe sources of speech variability that cause mismatch between training and testing, and discuss some of the current techniques to achieve robust speech recognition.
Peer Reviewed Yes
Published Yes
Publisher URI http://www.elsevier.com/wps/find/bookdescription.cws_home/716497/description#description
Alternative URI http://www.elsevier.com
Copyright Statement Self-archiving is not yet supported by this publisher. Please refer to the publisher website or contact the author(s) for more information.
Chapter Number 6
Page from 135
Page to 162
ISBN 9780123747082
Date Accessioned 2011-02-25
Date Available 2011-05-11T07:22:50Z
Language en_AU
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Signal Processing
URI http://hdl.handle.net/10072/37246
Publication Type Book Chapters
Publication Type Code b1

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