Items related to Computational Paralinguistics: Emotion, Affect and...
Computational Paralinguistics: Emotion, Affect and Personality in Speech and Language Processing - Hardcover
Synopsis
This book presents the methods, tools and techniques that are currently being used to recognise (automatically) the affect, emotion, personality and everything else beyond linguistics (‘paralinguistics’) expressed by or embedded in human speech and language.
It is the first book to provide such a systematic survey of paralinguistics in speech and language processing. The technology described has evolved mainly from automatic speech and speaker recognition and processing, but also takes into account recent developments within speech signal processing, machine intelligence and data mining.
Moreover, the book offers a hands-on approach by integrating actual data sets, software, and open-source utilities which will make the book invaluable as a teaching tool and similarly useful for those professionals already in the field.
Key features:
- Provides an integrated presentation of basic research (in phonetics/linguistics and humanities) with state-of-the-art engineering approaches for speech signal processing and machine intelligence.
- Explains the history and state of the art of all of the sub-fields which contribute to the topic of computational paralinguistics.
- C overs the signal processing and machine learning aspects of the actual computational modelling of emotion and personality and explains the detection process from corpus collection to feature extraction and from model testing to system integration.
- Details aspects of real-world system integration including distribution, weakly supervised learning and confidence measures.
- Outlines machine learning approaches including static, dynamic and context-sensitive algorithms for classification and regression.
- Includes a tutorial on freely available toolkits, such as the open-source ‘openEAR’ toolkit for emotion and affect recognition co-developed by one of the authors, and a listing of standard databases and feature sets used in the field to allow for immediate experimentation enabling the reader to build an emotion detection model on an existing corpus.
"synopsis" may belong to another edition of this title.
About the Author
Björn Schuller, Technische Universität München, Germany
Anton Batliner, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
"About this title" may belong to another edition of this title.
- PublisherWiley
- Publication date2013
- ISBN 10 1119971365
- ISBN 13 9781119971368
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages344
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Computational Paralinguistics (Hardcover)
Published by
John Wiley & Sons Inc, New York, 2013
ISBN 10: 1119971365
ISBN 13: 9781119971368
New
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First Edition
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Hardcover. Condition: new. Hardcover. This book presents the methods, tools and techniques that are currently being used to recognise (automatically) the affect, emotion, personality and everything else beyond linguistics (paralinguistics) expressed by or embedded in human speech and language. It is the first book to provide such a systematic survey of paralinguistics in speech and language processing. The technology described has evolved mainly from automatic speech and speaker recognition and processing, but also takes into account recent developments within speech signal processing, machine intelligence and data mining. Moreover, the book offers a hands-on approach by integrating actual data sets, software, and open-source utilities which will make the book invaluable as a teaching tool and similarly useful for those professionals already in the field. Key features: Provides an integrated presentation of basic research (in phonetics/linguistics and humanities) with state-of-the-art engineering approaches for speech signal processing and machine intelligence.Explains the history and state of the art of all of the sub-fields which contribute to the topic of computational paralinguistics.C overs the signal processing and machine learning aspects of the actual computational modelling of emotion and personality and explains the detection process from corpus collection to feature extraction and from model testing to system integration.Details aspects of real-world system integration including distribution, weakly supervised learning and confidence measures.Outlines machine learning approaches including static, dynamic and contextsensitive algorithms for classification and regression.Includes a tutorial on freely available toolkits, such as the open-source openEAR toolkit for emotion and affect recognition co-developed by one of the authors, and a listing of standard databases and feature sets used in the field to allow for immediate experimentation enabling the reader to build an emotion detection model on an existing corpus. This book presents the methods, tools and techniques that are currently being used to recognise (automatically) the affect, emotion, personality and everything else beyond linguistics ( paralinguistics ) expressed by or embedded in human speech and language. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781119971368
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Computational Paralinguistics
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Condition: New. This book presents the methods, tools and techniques that are currently being used to recognise (automatically) the affect, emotion, personality and everything else beyond linguistics ( paralinguistics ) expressed by or embedded in human speech and language. Num Pages: 344 pages, illustrations. BIC Classification: CFX; UYQL. Category: (P) Professional & Vocational. Dimension: 172 x 249 x 21. Weight in Grams: 668. . 2013. . . . . Seller Inventory # V9781119971368
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Computational Paralinguistics
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Condition: New. This book presents the methods, tools and techniques that are currently being used to recognise (automatically) the affect, emotion, personality and everything else beyond linguistics ( paralinguistics ) expressed by or embedded in human speech and language. Num Pages: 344 pages, illustrations. BIC Classification: CFX; UYQL. Category: (P) Professional & Vocational. Dimension: 172 x 249 x 21. Weight in Grams: 668. . 2013. . . . . Books ship from the US and Ireland. Seller Inventory # V9781119971368
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Computational Paralinguistics (Hardcover)
Published by
John Wiley & Sons Inc, New York, 2013
ISBN 10: 1119971365
ISBN 13: 9781119971368
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Hardcover. Condition: new. Hardcover. This book presents the methods, tools and techniques that are currently being used to recognise (automatically) the affect, emotion, personality and everything else beyond linguistics (paralinguistics) expressed by or embedded in human speech and language. It is the first book to provide such a systematic survey of paralinguistics in speech and language processing. The technology described has evolved mainly from automatic speech and speaker recognition and processing, but also takes into account recent developments within speech signal processing, machine intelligence and data mining. Moreover, the book offers a hands-on approach by integrating actual data sets, software, and open-source utilities which will make the book invaluable as a teaching tool and similarly useful for those professionals already in the field. Key features: Provides an integrated presentation of basic research (in phonetics/linguistics and humanities) with state-of-the-art engineering approaches for speech signal processing and machine intelligence.Explains the history and state of the art of all of the sub-fields which contribute to the topic of computational paralinguistics.C overs the signal processing and machine learning aspects of the actual computational modelling of emotion and personality and explains the detection process from corpus collection to feature extraction and from model testing to system integration.Details aspects of real-world system integration including distribution, weakly supervised learning and confidence measures.Outlines machine learning approaches including static, dynamic and contextsensitive algorithms for classification and regression.Includes a tutorial on freely available toolkits, such as the open-source openEAR toolkit for emotion and affect recognition co-developed by one of the authors, and a listing of standard databases and feature sets used in the field to allow for immediate experimentation enabling the reader to build an emotion detection model on an existing corpus. This book presents the methods, tools and techniques that are currently being used to recognise (automatically) the affect, emotion, personality and everything else beyond linguistics ( paralinguistics ) expressed by or embedded in human speech and language. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781119971368
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Computational Paralinguistics (Hardcover)
Published by
John Wiley & Sons Inc, New York, 2013
ISBN 10: 1119971365
ISBN 13: 9781119971368
New
Hardcover
First Edition
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Hardcover. Condition: new. Hardcover. This book presents the methods, tools and techniques that are currently being used to recognise (automatically) the affect, emotion, personality and everything else beyond linguistics (paralinguistics) expressed by or embedded in human speech and language. It is the first book to provide such a systematic survey of paralinguistics in speech and language processing. The technology described has evolved mainly from automatic speech and speaker recognition and processing, but also takes into account recent developments within speech signal processing, machine intelligence and data mining. Moreover, the book offers a hands-on approach by integrating actual data sets, software, and open-source utilities which will make the book invaluable as a teaching tool and similarly useful for those professionals already in the field. Key features: Provides an integrated presentation of basic research (in phonetics/linguistics and humanities) with state-of-the-art engineering approaches for speech signal processing and machine intelligence.Explains the history and state of the art of all of the sub-fields which contribute to the topic of computational paralinguistics.C overs the signal processing and machine learning aspects of the actual computational modelling of emotion and personality and explains the detection process from corpus collection to feature extraction and from model testing to system integration.Details aspects of real-world system integration including distribution, weakly supervised learning and confidence measures.Outlines machine learning approaches including static, dynamic and contextsensitive algorithms for classification and regression.Includes a tutorial on freely available toolkits, such as the open-source openEAR toolkit for emotion and affect recognition co-developed by one of the authors, and a listing of standard databases and feature sets used in the field to allow for immediate experimentation enabling the reader to build an emotion detection model on an existing corpus. This book presents the methods, tools and techniques that are currently being used to recognise (automatically) the affect, emotion, personality and everything else beyond linguistics ( paralinguistics ) expressed by or embedded in human speech and language. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9781119971368
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