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Robust Adaptation to Non-Native Accents in Automatic Speech Recognition: 2560 (Lecture Notes in Computer Science, 2560) - Softcover
Synopsis
Speech recognition technology is being increasingly employed in human-machine interfaces. A remaining problem however is the robustness of this technology to non-native accents, which still cause considerable difficulties for current systems.
In this book, methods to overcome this problem are described. A speaker adaptation algorithm that is capable of adapting to the current speaker with just a few words of speaker-specific data based on the MLLR principle is developed and combined with confidence measures that focus on phone durations as well as on acoustic features. Furthermore, a specific pronunciation modelling technique that allows the automatic derivation of non-native pronunciations without using non-native data is described and combined with the previous techniques to produce a robust adaptation to non-native accents in an automatic speech recognition system.
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Robust Adaptation to Non-Native Accents in Automatic Speech Recognition (Lecture Notes in Computer Science)
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Robust Adaptation to Non-Native Accents in Automatic Speech Recognition (Lecture Notes in Computer Science, 2560)
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Robust Adaptation to Non-Native Accents in Automatic Speech Recognition
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Springer Berlin Heidelberg Dez 2002, 2002
ISBN 10: 3540003258
ISBN 13: 9783540003250
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Speech recognition technology is being increasingly employed in human-machine interfaces. A remaining problem however is the robustness of this technology to non-native accents, which still cause considerable difficulties for current systems.In this book, methods to overcome this problem are described. A speaker adaptation algorithm that is capable of adapting to the current speaker with just a few words of speaker-specific data based on the MLLR principle is developed and combined with confidence measures that focus on phone durations as well as on acoustic features. Furthermore, a specific pronunciation modelling technique thatallows the automatic derivation of non-native pronunciations without using non-native data is described and combined with the previous techniques to produce a robust adaptation to non-native accents in an automatic speech recognition system. 164 pp. Englisch. Seller Inventory # 9783540003250
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Robust Adaptation to Non-Native Accents in Automatic Speech Recognition
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Springer Berlin Heidelberg, 2002
ISBN 10: 3540003258
ISBN 13: 9783540003250
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Speech recognition technology is being increasingly employed in human-machine interfaces. A remaining problem however is the robustness of this technology to non-native accents, which still cause considerable difficulties for current systems.In this book, methods to overcome this problem are described. A speaker adaptation algorithm that is capable of adapting to the current speaker with just a few words of speaker-specific data based on the MLLR principle is developed and combined with confidence measures that focus on phone durations as well as on acoustic features. Furthermore, a specific pronunciation modelling technique thatallows the automatic derivation of non-native pronunciations without using non-native data is described and combined with the previous techniques to produce a robust adaptation to non-native accents in an automatic speech recognition system. Seller Inventory # 9783540003250
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Robust Adaptation to Non-Native Accents in Automatic Speech Recognition
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ISBN 10: 3540003258
ISBN 13: 9783540003250
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Speech recognition technology is being increasingly employed in human-machine interfaces. A remaining problem however is the robustness of this technology to non-native accents, which still cause considerable difficulties for current systems.In this . Seller Inventory # 4877089
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Robust Adaptation to Non-Native Accents in Automatic Speech Recognition
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Robust Adaptation to Non-Native Accents in Automatic Speech Recognition
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Robust Adaptation to Non-Native Accents in Automatic Speech Recognition
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Springer Berlin Heidelberg, Springer Berlin Heidelberg Dez 2002, 2002
ISBN 10: 3540003258
ISBN 13: 9783540003250
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Taschenbuch. Condition: Neu. Neuware -Speech recognition technology is being increasingly employed in human-machine interfaces. A remaining problem however is the robustness of this technology to non-native accents, which still cause considerable difficulties for current systems.In this book, methods to overcome this problem are described. A speaker adaptation algorithm that is capable of adapting to the current speaker with just a few words of speaker-specific data based on the MLLR principle is developed and combined with confidence measures that focus on phone durations as well as on acoustic features. Furthermore, a specific pronunciation modelling technique that allows the automatic derivation of non-native pronunciations without using non-native data is described and combined with the previous techniques to produce a robust adaptation to non-native accents in an automatic speech recognition system. 164 pp. Englisch. Seller Inventory # 9783540003250
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Robust Adaptation to Non-Native Accents in Automatic Speech Recognition
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Robust Adaptation to Non-Native Accents in Automatic Speech Recognition (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)
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