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This book explores the various categories of speech variation and works to draw a line between linguistic and paralinguistic phenomenon of speech. Paralinguistic contrast is crucial to human speech but has proven to be one of the most difficult tasks in speech systems. In the quest for solutions to speech technology and sciences, this book narrows down the gap between speech technologists and phoneticians and emphasizes the imperative efforts required to accomplish the goal of paralinguistic control in speech technology applications and the acute need for a multidisciplinary categorization system. This interdisciplinary work on paralanguage will not only serve as a source of information but also a theoretical model for linguists, sociologists, psychologists, phoneticians and speech researchers.
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.
This book focuses on the key technologies and scientific problems involved in emotional robot systems, such as multimodal emotion recognition (i.e., facial expression/speech/gesture and their multimodal emotion recognition) and emotion intention understanding, and presents the design and application examples of emotional HRI systems. Aiming at the development needs of emotional robots and emotional human–robot interaction (HRI) systems, this book introduces basic concepts, system architecture, and system functions of affective computing and emotional robot systems. With the professionalism of this book, it serves as a useful reference for engineers in affective computing, and graduate students interested in emotion recognition and intention understanding. This book offers the latest approaches to this active research area. It provides readers with the state-of-the-art methods of multimodal emotion recognition, intention understanding, and application examples of emotional HRI systems.
Some investigators have argued that emotions, especially animal emotions, are illusory concepts outside the realm of scientific inquiry. However, with advances in neurobiology and neuroscience, researchers are demonstrating that this position is wrong as they move closer to a lasting understanding of the biology and psychology of emotion. In Affective Neuroscience, Jaak Panksepp provides the most up-to-date information about the brain-operating systems that organize the fundamental emotional tendencies of all mammals. Presenting complex material in a readable manner, the book offers a comprehensive summary of the fundamental neural sources of human and animal feelings, as well as a conceptual framework for studying emotional systems of the brain. Panksepp approaches emotions from the perspective of basic emotion theory but does not fail to address the complex issues raised by constructionist approaches. These issues include relations to human consciousness and the psychiatric implications of this knowledge. The book includes chapters on sleep and arousal, pleasure and fear systems, the sources of rage and anger, and the neural control of sexuality, as well as the more subtle emotions related to maternal care, social loss, and playfulness. Representing a synthetic integration of vast amounts of neurobehavioral knowledge, including relevant neuroanatomy, neurophysiology, and neurochemistry, this book will be one of the most important contributions to understanding the biology of emotions since Darwins The Expression of the Emotions in Man and Animals
Significant developments within the past few years have made possible the publication of this rather large volume focusing on specific emotions of human experience, such as interest, joy, anger, distress, fear, shame, shyness, and guilt. The relevant events include new evidence on the relationship of emotions to cognitive processes and to personality traits and defense mechanisms. They also include discoveries relating to the biological foundations of emotions and theory regarding their significance in human evolution. Finally, there have been important findings on the role of emotions and emotion expressions in social relations, pain, grief, and psychopathology. These developments are elaborated in the pages of this volume. The contributors represent the disciplines of clinical, social, and experi mental psychology, psychiatry, and psychoanalysis. The contributions show important common themes that cut across disciplines, but they also reflect some differences that invite further thought and research. Above all, they add to our knowledge of human emotions and to our ability to understand and resolve human problems. The Department of Psychology of the University of Delaware has pro vided an excellent intellectual climate for work on a volume that ranges across several specialities and disciplines. Conversations with colleagues in the offices and hallways of Wolf Hall have provided answers to many questions. They also yielded some questions that compelled me to seek greater clarification of an issue.
The core message of this book is: computer games best realise affective interaction. This book brings together contributions from specialists in affective computing, game studies, game artificial intelligence, user experience research, sensor technology, multi-modal interfaces and psychology that will advance the state-of-the-art in player experience research; affect modelling, induction, and sensing; affect-driven game adaptation and game-based learning and assessment. In 3 parts the books covers Theory, Emotion Modelling and Affect-Driven Adaptation, and Applications. This book will be of interest to researchers and scholars in the fields of game research, affective computing, human computer interaction, and artificial intelligence.
ICMI '16: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION Nov 12, 2016-Nov 16, 2016 Tokyo, Japan. You can view more information about this proceeding and all of ACM�s other published conference proceedings from the ACM Digital Library: http://www.acm.org/dl.
The Handbook consists of four major sections. Each section is introduced by a main article: Theories of Emotion – General Aspects Perspectives in Communication Theory, Semiotics, and Linguistics Perspectives on Language and Emotion in Cultural Studies Interdisciplinary and Applied Perspectives The first section presents interdisciplinary emotion theories relevant for the field of language and communication research, including the history of emotion research. The second section focuses on the full range of emotion-related aspects in linguistics, semiotics, and communication theories. The next section focuses on cultural studies and language and emotion; emotions in arts and literature, as well as research on emotion in literary studies; and media and emotion. The final section covers different domains, social practices, and applications, such as society, policy, diplomacy, economics and business communication, religion and emotional language, the domain of affective computing in human-machine interaction, and language and emotion research for language education. Overall, this Handbook represents a comprehensive overview in a rich, diverse compendium never before published in this particular domain.
Speech perception has been the focus of innumerable studies over the past decades. While our abilities to recognize individuals by their voice state plays a central role in our everyday social interactions, limited scientific attention has been devoted to the perceptual and cerebral mechanisms underlying nonverbal information processing in voices. The Oxford Handbook of Voice Perception takes a comprehensive look at this emerging field and presents a selection of current research in voice perception. The forty chapters summarise the most exciting research from across several disciplines covering acoustical, clinical, evolutionary, cognitive, and computational perspectives. In particular, this handbook offers an invaluable window into the development and evolution of the 'vocal brain', and considers in detail the voice processing abilities of non-human animals or human infants. By providing a full and unique perspective on the recent developments in this burgeoning area of study, this text is an important and interdisciplinary resource for students, researchers, and scientific journalists interested in voice perception.