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Techniques for noise robustness in automatic speech recognition [electronic resource] / Tuomas Virtanen, Rita Singh, Bhiksha Raj.

By: Contributor(s): Publication details: Chichester, West Sussex, U.K. : Wiley, 2012.Description: 1 online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781118392669
  • 1118392663
  • 9781118392652
  • 1118392655
  • 9781118392676
  • 1118392671
  • 9781118392683
  • 111839268X
  • 1119970881
  • 9781119970880
  • 9781283645508
  • 1283645505
Subject(s): Genre/Form: Additional physical formats: Print version:: Techniques for noise robustness in automatic speech recognition.LOC classification:
  • TK7882.S65
Online resources: Summary: "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."-- Provided by publisher.
Item type: eBooks
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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."-- Provided by publisher.

John Wiley and Sons Wiley eBooks

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