Ebook: 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. This book attempts to give a clear overview of the main technologies used in language and speech processing, along with an extensive bibliography to enable topics of interest to be pursued further. It also brings together speech and language technologies often considered separately.
Robustness in Language and Speech Technology serves as a valuable reference and although not intended as a formal university textbook, contains some material that can be used for a course at the graduate or undergraduate level.

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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. This book attempts to give a clear overview of the main technologies used in language and speech processing, along with an extensive bibliography to enable topics of interest to be pursued further. It also brings together speech and language technologies often considered separately.
Robustness in Language and Speech Technology serves as a valuable reference and although not intended as a formal university textbook, contains some material that can be used for a course at the graduate or undergraduate level.

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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. This book attempts to give a clear overview of the main technologies used in language and speech processing, along with an extensive bibliography to enable topics of interest to be pursued further. It also brings together speech and language technologies often considered separately.
Robustness in Language and Speech Technology serves as a valuable reference and although not intended as a formal university textbook, contains some material that can be used for a course at the graduate or undergraduate level.
Content:
Front Matter....Pages i-x
Introduction....Pages 1-7
Acoustic Features and Distance Measure to Reduce Vulnerability of ASR Performance Due to the Presence of a Communication Channel and/or Background Noise....Pages 9-45
Speaker Compensation in Automatic Speech Recogniton....Pages 47-100
Robustness in Statistical Language Modeling: Review and Perspectives....Pages 101-121
Improving Robustness by Modeling Spontaneous Speech Events....Pages 123-152
Regular Approximation of Context-Free Grammars through Transformation....Pages 153-163
Weighted Grammar Tools: The GRM Library....Pages 165-186
Robust Parsing and Beyond....Pages 187-204
Robust Parsing of Word Graphs....Pages 205-238
Balancing Robustness and Efficiency in Unification-Augmented Context-Free Parsers for Large Practical Applications....Pages 239-269
Back Matter....Pages 271-271

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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. This book attempts to give a clear overview of the main technologies used in language and speech processing, along with an extensive bibliography to enable topics of interest to be pursued further. It also brings together speech and language technologies often considered separately.
Robustness in Language and Speech Technology serves as a valuable reference and although not intended as a formal university textbook, contains some material that can be used for a course at the graduate or undergraduate level.
Content:
Front Matter....Pages i-x
Introduction....Pages 1-7
Acoustic Features and Distance Measure to Reduce Vulnerability of ASR Performance Due to the Presence of a Communication Channel and/or Background Noise....Pages 9-45
Speaker Compensation in Automatic Speech Recogniton....Pages 47-100
Robustness in Statistical Language Modeling: Review and Perspectives....Pages 101-121
Improving Robustness by Modeling Spontaneous Speech Events....Pages 123-152
Regular Approximation of Context-Free Grammars through Transformation....Pages 153-163
Weighted Grammar Tools: The GRM Library....Pages 165-186
Robust Parsing and Beyond....Pages 187-204
Robust Parsing of Word Graphs....Pages 205-238
Balancing Robustness and Efficiency in Unification-Augmented Context-Free Parsers for Large Practical Applications....Pages 239-269
Back Matter....Pages 271-271
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