Computational Paralinguistics

Björn Schuller 지음

Wiley 2013년 09월 17일 출간

작품소개

책소개

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 (lsquo;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#8209;sensitive algorithms for classification and regression.Includes a tutorial on freely available toolkits, such as the open-source lsquo;openEAR' toolkit for emotion and affect recognition co-developed by one of the authors, and a listing of standard databases and feature sets use

목차

Preface xiiiAcknowledgements xvList of Abbreviations xviiPart I Foundations1 Introduction 31.1 What is Computational Paralinguistics? A First Approximation 31.2 History and Subject Area 71.3 Form versus Function 101.4 Further Aspects 121.4.1 The Synthesis of Emotion and Personality 121.4.2 Multimodality: Analysis and Generation 131.4.3 Applications, Usability and Ethics 151.5 Summary and Structure of the Book 17References 182 Taxonomies 212.1 Traits versus States 212.2 Acted versus Spontaneous 252.3 Complex versus Simple 302.4 Measured versus Assessed 312.5 Categorical versus Continuous 332.6 Felt versus Perceived 352.7 Intentional versus Instinctual 372.8 Consistent versus Discrepant 382.9 Private versus Social 392.10 Prototypical versus Peripheral 402.11 Universal versus Culture-Specific 412.12 Unimodal versus Multimodal 432.13 All These Taxonomies &n- So What? 442.13.1 Emotion Data: The FAU AEC 452.13.2 Non-native Data: The C-AuDiT corpus 47References 483 Aspects of Modelling 533.1 Theories and Models of Personality 533.2 Theories and Models of Emotion and Affect 553.3 Type and Segmentation of Units 583.4 Typical versus Atypical Speech 603.5 Context 613.6 Lab versus Life, or Through the Looking Glass 623.7 Sheep and Goats, or Single Instance Decision versus Cumulative Evidence and Overall Performance 643.8 The Few and the Many, or How to Analyse a Hamburger 653.9 Reifications, and What You are Looking for is What You Get 673.10 Magical Numbers versus Sound Reasoning 68References 744 Formal Aspects 794.1 The Linguistic Code and Beyond 794.2 The Non-Distinctive Use of Phonetic Elements 814.2.1 Segmental Level: The

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저자(글) Björn Schuller

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Bjouml;rn Schuller, Technische Universitauml;t Muuml;nchen, GermanyAnton Batliner, Friedrich-Alexander-Universitauml;t Erlangen-Nuuml;rnberg, Germany