Computational Paralinguistics (eBook)

Emotion, Affect and Personality in Speech and Language Processing

Björn Schuller, Anton Batliner (Autoren)

eBook Download: EPUB

2013
John Wiley & Sons (Verlag)
978-1-118-70662-6 (ISBN)

Infos

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.

Björn Schuller, Technische Universität München, Germany

Anton Batliner, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

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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.

Produkt-Details

• Erscheint lt. Verlag: 17.9.2013
• Sprache: englisch
• Themenwelt: Geisteswissenschaften ► Sprach- / Literaturwissenschaft ► Sprachwissenschaft
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Themenwelt: Technik ► Elektrotechnik / Energietechnik
• Schlagworte: affect and personality • Affect and Personality in Speech and Language Processing • Anton Batliner • Audio & Speech Processing & Broadcasting • Audio-, Sprachverarbeitung u. Übertragung • Audio-, Sprachverarbeitung u. Übertragung • Computational Paralinguistics: Emotion • Electrical & Electronics Engineering • Elektrotechnik u. Elektronik • psychological underpinnings of emotions • Signal Processing • Signalverarbeitung
• ISBN-10: 1-118-70662-5 / 1118706625
• ISBN-13: 978-1-118-70662-6 / 9781118706626