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Techniques for noise robustness in a...
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Virtanen, Tuomas.
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Techniques for noise robustness in automatic speech recognition
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Techniques for noise robustness in automatic speech recognition/ Tuomas Virtanen, Rita Singh, Bhiksha Raj.
作者:
Virtanen, Tuomas.
其他作者:
Singh, Rita.
出版者:
Chichester, West Sussex, U.K. ;Wiley, : 2013.,
面頁冊數:
1 online resource (xvi, 496 p.) :ill.
標題:
Automatic speech recognition. -
電子資源:
http://onlinelibrary.wiley.com/book/10.1002/9781118392683
ISBN:
9781118392683 (electronic bk.)
Techniques for noise robustness in automatic speech recognition
Virtanen, Tuomas.
Techniques for noise robustness in automatic speech recognition
[electronic resource] /Tuomas Virtanen, Rita Singh, Bhiksha Raj. - Chichester, West Sussex, U.K. ;Wiley,2013. - 1 online resource (xvi, 496 p.) :ill.
Includes bibliographical references and index.
"Automatic speech recognition (ASR) systems are finding increasing use in everyday life. Many of the commonplace environments where the systems are used are noisy, for example users calling up a voice search system from a busy cafeteria or a street. This can result in degraded speech recordings and adversely affect the performance of speech recognition systems. As the use of ASR systems increases, knowledge of the state-of-the-art in techniques to deal with such problems becomes critical to system and application engineers and researchers who work with or on ASR technologies. This book presents a comprehensive survey of the state-of-the-art in techniques used to improve the robustness of speech recognition systems to these degrading external influences."--
ISBN: 9781118392683 (electronic bk.)
LCCN: 2012025172Subjects--Topical Terms:
753709
Automatic speech recognition.
LC Class. No.: TK7882.S65 / T43 2013eb
Dewey Class. No.: 006.4/54
Techniques for noise robustness in automatic speech recognition
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Tuomas Virtanen, Rita Singh, Bhiksha Raj.
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"Automatic speech recognition (ASR) systems are finding increasing use in everyday life. Many of the commonplace environments where the systems are used are noisy, for example users calling up a voice search system from a busy cafeteria or a street. This can result in degraded speech recordings and adversely affect the performance of speech recognition systems. As the use of ASR systems increases, knowledge of the state-of-the-art in techniques to deal with such problems becomes critical to system and application engineers and researchers who work with or on ASR technologies. This book presents a comprehensive survey of the state-of-the-art in techniques used to improve the robustness of speech recognition systems to these degrading external influences."--
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http://onlinelibrary.wiley.com/book/10.1002/9781118392683
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