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Robustness in Language and Speech Technology Book

Robustness in Language and Speech Technology
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Robustness in Language and Speech Technology, In this book we address robustness issues at the speech recognition and natural language parsing levels, with a focus on feature extraction and noise robust recognition, adaptive systems, language modeling, parsing, and natural language understanding. Thi, Robustness in Language and Speech Technology
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  • Robustness in Language and Speech Technology
  • Written by author Junqua, Jean-Claude, Van Noord, Gertjan
  • Published by Springer-Verlag New York, LLC, 12/9/2010
  • In this book we address robustness issues at the speech recognition and natural language parsing levels, with a focus on feature extraction and noise robust recognition, adaptive systems, language modeling, parsing, and natural language understanding. Thi
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Authors

1. Introduction; J.-C. Junqua, G. van Noord. 2. Acoustic Features and Distance Measure; J. de Veth, et al. 3. Speaker Compensation in Automatic Speech Recognition; D.T. Merino. 4. Robustness in Statistical Language Modeling; J.R. Bellegarda. 5. Improving Robustness by Modeling Spontaneous Speech Events; P.A. Heeman, J.F. Allen. 6. Regular Approximation of Context-Free Grammars; M. Mohri, M.-J. Nederhof. 7. Weighted Grammer Tools: The GRM Library; M. Mohri. 8. Robust Parsing and Beyond; J.-P. Chanod. 9. Robust Parsing of Word Graphs; G. van Noord. 10. Balancing Robustness and Efficiency; C. Penstein Rosé, A. Lavie.


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Robustness in Language and Speech Technology, In this book we address robustness issues at the speech recognition and natural language parsing levels, with a focus on feature extraction and noise robust recognition, adaptive systems, language modeling, parsing, and natural language understanding. Thi, Robustness in Language and Speech Technology

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Robustness in Language and Speech Technology, In this book we address robustness issues at the speech recognition and natural language parsing levels, with a focus on feature extraction and noise robust recognition, adaptive systems, language modeling, parsing, and natural language understanding. Thi, Robustness in Language and Speech Technology

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Robustness in Language and Speech Technology, In this book we address robustness issues at the speech recognition and natural language parsing levels, with a focus on feature extraction and noise robust recognition, adaptive systems, language modeling, parsing, and natural language understanding. Thi, Robustness in Language and Speech Technology

Robustness in Language and Speech Technology

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