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Computational Paralinguistics : Emotion, Affect and Personality in Speech and Language Processing
Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Publisher: [s.l.] : Wiley, 2013Edition: 1. AuflDescription: Online Ressource (PDF, 5496 KB, 344 S.)ISBN:- 1119971365
- Computerlinguistik
- Paralinguistik
- Computational linguistics
- Speech processing systems
- Psycholinguistics
- Linguistic models
- Paralinguistics
- Language and emotions
- Emotive (Linguistics)
- Human-computer interaction
- Linguistic models ; Data processing
- Psycholinguistics ; Data processing
- Electronic books
- Electronic books
- 401.90285 401/.90285
- 401/.90285 23
- 401.90285
- 006.35
- P37.5.D37 S38 2013
- P37.5.D37
Contents:
Summary: This book is a guide through the contemporary field of automatically detecting speaker states/traits in speech via acoustic and linguistic properties. The authors will first introduce the general topic covering definitions, usability and application, and then discuss the psychological underpinnings of emotions, affect and personality and how they are expressed and categorized in speech. Reflecting the multidisciplinary character of the field, the authors switch to aspects of human speech and language containing speech production and perception, and linguistic and paralinguistic aspects. The authors will also focus on the signal processing and machine learning aspects of the actual computational modelling of emotion and personality and will explain the detection process from corpus collection through feature extraction and model testing to system integration. After a general introduction into computational modelling of emotion and personality including pre-processing, feature extraction and machine learning algorithms, acoustic and linguistic analyses will each be handled in separate chapters. Once emotion and personality have been recognised by a technical system, the question arises how to best integrate this information in a system context, in particular dealing with uncertainty – an aspect often handled with lower attention, neglecting its high importance. The authors will cover this providing an extra chapter on aspects in this context as standards for emotion and personality, dealing with error-prone prediction results, real-time issues, application design, and real-life evaluation of systems. The book will end with a tutorial enabling the reader to build an emotion detection model on an existing corpus. This hands-on approach by integrating actual data sets, software, and open-source utilities will make the book invaluable as a teaching tool and similarly useful for those professionals already in the field.PPN: PPN: 788406892Package identifier: Produktsigel: ZDB-26-MYL | ZDB-30-PAD | ZDB-30-PQE | BSZ-30-PQE-ULUB
COMPUTATIONAL PARALINGUISTICS; Contents; Preface; Acknowledgements; List of Abbreviations; Part I Foundations; 1 Introduction; 1.1 What is Computational Paralinguistics? A First Approximation; 1.2 History and Subject Area; 1.3 Form versus Function; 1.4 Further Aspects; 1.4.1 The Synthesis of Emotion and Personality; 1.4.2 Multimodality: Analysis and Generation; 1.4.3 Applications, Usability and Ethics; 1.5 Summary and Structure of the Book; References; 2 Taxonomies; 2.1 Traits versus States; 2.2 Acted versus Spontaneous; 2.3 Complex versus Simple; 2.4 Measured versus Assessed
2.5 Categorical versus Continuous2.6 Felt versus Perceived; 2.7 Intentional versus Instinctual; 2.8 Consistent versus Discrepant; 2.9 Private versus Social; 2.10 Prototypical versus Peripheral; 2.11 Universal versus Culture-Specific; 2.12 Unimodal versus Multimodal; 2.13 All These Taxonomies - So What?; 2.13.1 Emotion Data: The FAU AEC; 2.13.2 Non-native Data: The C-AuDiT corpus; References; 3 Aspects of Modelling; 3.1 Theories and Models of Personality; 3.2 Theories and Models of Emotion and Affect; 3.3 Type and Segmentation of Units; 3.4 Typical versus Atypical Speech; 3.5 Context
3.6 Lab versus Life, or Through the Looking Glass3.7 Sheep and Goats, or Single Instance Decision versus Cumulative Evidence and Overall Performance; 3.8 The Few and the Many, or How to Analyse a Hamburger; 3.9 Reifications, and What You are Looking for is What You Get; 3.10 Magical Numbers versus Sound Reasoning; References; 4 Formal Aspects; 4.1 The Linguistic Code and Beyond; 4.2 The Non-Distinctive Use of Phonetic Elements; 4.2.1 Segmental Level: The Case of /r/ Variants; 4.2.2 Supra-segmental Level: The Case of Pitch and Fundamental Frequency - and of Other Prosodic Parameters
4.2.3 In Between: The Case of Other Voice Qualities, Especially Laryngealisation4.3 The Non-Distinctive Use of Linguistics Elements; 4.3.1 Words and Word Classes; 4.3.2 Phrase Level: The Case of Filler Phrases and Hedges; 4.4 Disfluencies; 4.5 Non-Verbal, Vocal Events; 4.6 Common Traits of Formal Aspects; References; 5 Functional Aspects; 5.1 Biological Trait Primitives; 5.1.1 Speaker Characteristics; 5.2 Cultural Trait Primitives; 5.2.1 Speech Characteristics; 5.3 Personality; 5.4 Emotion and Affect; 5.5 Subjectivity and Sentiment Analysis; 5.6 Deviant Speech; 5.6.1 Pathological Speech
5.6.2 Temporarily Deviant Speech5.6.3 Non-native Speech; 5.7 Social Signals; 5.8 Discrepant Communication; 5.8.1 Indirect Speech, Irony, and Sarcasm; 5.8.2 Deceptive Speech; 5.8.3 Off-Talk; 5.9 Common Traits of Functional Aspects; References; 6 Corpus Engineering; 6.1 Annotation; 6.1.1 Assessment of Annotations; 6.1.2 New Trends; 6.2 Corpora and Benchmarks: Some Examples; 6.2.1 FAU Aibo Emotion Corpus; 6.2.2 aGender Corpus; 6.2.3 TUM AVIC Corpus; 6.2.4 Alcohol Language Corpus; 6.2.5 Sleepy Language Corpus; 6.2.6 Speaker Personality Corpus; 6.2.7 Speaker Likability Database
6.2.8 NKI CCRT Speech Corpus
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