Robust Automatic Speech Recognition (31 results)
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Paperback. Condition: Gut. Gebraucht - Gut Buch ist Bibliotheksexemplar und kann die üblichen Stempel oder Markierungen enthalten. -Automatic speech recognition (ASR) systems still do not perform as well as human listeners under realistic conditions. The unmatched ability of humans to understand speech in most difficult acoustic… conditions originates from the superior properties of their auditory system. The aim of this thesis is to improve the recognition performance of ASR systems in difficult acoustic conditions by carefully integrating auditory signal processing strategies. To this end, the physiologically inspired extraction of spectro-temporal modulation patterns was successfully integrated into the front-end of a standard ASR system. Further, the joint spectro-temporal processing could be separated into independent temporal and spectral processes. To investigate the reason for the remaining 'man-machine-gap' in recognition performance, a range of critical auditory discrimination tasks were performed using ASR systems. The comparison with empirical data showed that the separate spectro-temporal modulation front-end provides a suitable auditory model and revealed the importance of across-frequency processing in speech recognition.
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- Softcover
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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 thi…s 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.
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Taschenbuch. Condition: Neu. Noise Robust Automatic Speech Recognition | A Multi-stream Perspective | Hemant Misra | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639149609 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
- Hardcover
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- Hardcover
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- Hardcover
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- Softcover
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- Hardcover
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Gebunden. Condition: New. The first book that provides a comprehensive review on noise and reverberation robust speech recognition methods in the era of deep neural networks Connects robust speech recognition techniques to machine learning paradigms with rigorous m.
- Hardcover
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Buch. Condition: Neu. Neuware - Robust Automatic Speech Recognition: A Bridge to Practical Applications establishes a solid foundation for automatic speech recognition that is robust against acoustic environmental distortion. It provides a thorough overview of classical and modern noise-and reverberation robust techniques that h…ave been developed over the past thirty years, with an emphasis on practical methods that have been proven to be successful and which are likely to be further developed for future applications.The strengths and weaknesses of robustness-enhancing speech recognition techniques are carefully analyzed. The book covers noise-robust techniques designed for acoustic models which are based on both Gaussian mixture models and deep neural networks. In addition, a guide to selecting the best methods for practical applications is provided.The reader will: Gain a unified, deep and systematic understanding of the state-of-the-art technologies for robust speech recognition Learn the links and relationship between alternative technologies for robust speech recognition Be able to use the technology analysis and categorization detailed in the book to guide future technology development Be able to develop new noise-robust methods in the current era of deep learning for acoustic modeling in speech recognition.
- Softcover
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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 curren…t 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.
- Softcover
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Condition: New. Print on Demand pp. 164 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
- Softcover
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Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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Condition: New. PRINT ON DEMAND pp. 164.
- Softcover
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Seller: moluna, Greven, Germanymoluna
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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 ca…use considerable difficulties for current systems.In this .
- Softcover
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Seller: moluna, Greven, Germanymoluna
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Misra HemantDr. Hemant Misra is an active researcher in the areas ofnautomatic speech/speaker nrecognition, text processing and machine learning, and is anpost-doc researcher at… nUniversity of Glasgow. His academic and industry rese.
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. 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 sy…stems.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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 164 pp. Englisch.
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Seller: preigu, Osnabrück, Germanypreigu
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Taschenbuch. Condition: Neu. Robust Adaptation to Non-Native Accents in Automatic Speech Recognition | Silke Goronzy | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2002 | Springer | EAN 9783540003250 | Verantwortliche Person für die EU: Springer Nature Customer Service Center GmbH, Europaplatz 3, 69115 Heidelberg, produ…ctsafety[at]springernature[dot]com | Anbieter: preigu Print on Demand.
- Hardcover
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Hardcover. Condition: Brand New. 250 pages. 9.25x7.50x1.00 inches. In Stock. This item is printed on demand.
- Softcover
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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. 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 andtest…ing 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.
