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As computer technology develops, spoken dialogue is becoming ever-more important when interacting with a wide variety of technological devices, including Personal Digital Assistants, tablet PCs, and mobile phones. Using speech leads to more natural and user-friendly interfaces. More specifically, the authors of this volume contend that the experience of talking to our computerized gadgets may be greatly improved by dynamically adapting the system's dialogue interaction style to the user’s profile and emotional status. In this book, a novel approach that combines speech-based emotion recognition with adaptive human-computer dialogue modeling is described. With the robust recognition of emotions from speech signals as their goal, the authors analyze the effectiveness of using a plain emotion recognizer, a speech-emotion recognizer combining speech and emotion recognition, and multiple speech-emotion recognizers at the same time. The semi-stochastic dialogue model employed relates user emotion management to the corresponding dialogue interaction history and allows the device to adapt itself to the context, including altering the stylistic realization of its speech. This comprehensive volume begins by introducing spoken language dialogue systems and providing an overview of human emotions, theories, categorization and emotional speech. It moves on to cover the adaptive semi-stochastic dialogue model and the basic concepts of speech-emotion recognition. Finally, the authors show how speech-emotion recognizers can be optimized, and how an adaptive dialogue manager can be implemented. The book, with its novel methods to perform robust speech-based emotion recognition at low complexity, will be of interest to a variety of readers involved in human-computer interaction.
Automatic speech recognition. --- Computational linguistics. --- Emotions -- Computer simulation. --- Human-computer interaction. --- Automatic speech recognition --- Human-computer interaction --- Emotions --- Electrical & Computer Engineering --- Languages & Literatures --- Electrical Engineering --- Philology & Linguistics --- Engineering & Applied Sciences --- Computer simulation --- Computer simulation. --- Feelings --- Human emotions --- Passions --- Computer-human interaction --- Human factors in computing systems --- Interaction, Human-computer --- Mechanical speech recognizer --- Speech recognition, Automatic --- Linguistics. --- Computers. --- Multimedia information systems. --- User interfaces (Computer systems). --- Artificial intelligence. --- Computational Linguistics. --- Artificial Intelligence (incl. Robotics). --- User Interfaces and Human Computer Interaction. --- Signal, Image and Speech Processing. --- Multimedia Information Systems. --- Information Systems and Communication Service. --- Psychology --- Affect (Psychology) --- Affective neuroscience --- Apathy --- Pathognomy --- Human engineering --- User-centered system design --- User interfaces (Computer systems) --- Pattern recognition systems --- Perceptrons --- Speech, Intelligibility of --- Speech perception --- Speech processing systems --- Computer science. --- Multimedia systems. --- Information systems. --- Artificial Intelligence. --- Computer-based multimedia information systems --- Multimedia computing --- Multimedia information systems --- Multimedia knowledge systems --- Information storage and retrieval systems --- Informatics --- Science --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Automatic language processing --- Language and languages --- Language data processing --- Linguistics --- Natural language processing (Linguistics) --- Applied linguistics --- Cross-language information retrieval --- Mathematical linguistics --- Multilingual computing --- Data processing --- Signal processing. --- Image processing. --- Speech processing systems. --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Calculators --- Cyberspace --- Computational linguistics --- Electronic systems --- Information theory --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Interfaces, User (Computer systems) --- Human-machine systems
Choose an application
As computer technology develops, spoken dialogue is becoming ever-more important when interacting with a wide variety of technological devices, including Personal Digital Assistants, tablet PCs, and mobile phones. Using speech leads to more natural and user-friendly interfaces. More specifically, the authors of this volume contend that the experience of talking to our computerized gadgets may be greatly improved by dynamically adapting the system's dialogue interaction style to the user’s profile and emotional status. In this book, a novel approach that combines speech-based emotion recognition with adaptive human-computer dialogue modeling is described. With the robust recognition of emotions from speech signals as their goal, the authors analyze the effectiveness of using a plain emotion recognizer, a speech-emotion recognizer combining speech and emotion recognition, and multiple speech-emotion recognizers at the same time. The semi-stochastic dialogue model employed relates user emotion management to the corresponding dialogue interaction history and allows the device to adapt itself to the context, including altering the stylistic realization of its speech. This comprehensive volume begins by introducing spoken language dialogue systems and providing an overview of human emotions, theories, categorization and emotional speech. It moves on to cover the adaptive semi-stochastic dialogue model and the basic concepts of speech-emotion recognition. Finally, the authors show how speech-emotion recognizers can be optimized, and how an adaptive dialogue manager can be implemented. The book, with its novel methods to perform robust speech-based emotion recognition at low complexity, will be of interest to a variety of readers involved in human-computer interaction.
Programming --- Computer architecture. Operating systems --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- Mathematical linguistics --- DIP (documentimage processing) --- beeldverwerking --- ICT (informatie- en communicatietechnieken) --- spraaktechnologie --- computers --- informatica --- multimedia --- emoties --- informatiesystemen --- KI (kunstmatige intelligentie) --- signaalverwerking --- interfaces
Choose an application
As computer technology develops, spoken dialogue is becoming ever-more important when interacting with a wide variety of technological devices, including Personal Digital Assistants, tablet PCs, and mobile phones. Using speech leads to more natural and user-friendly interfaces. More specifically, the authors of this volume contend that the experience of talking to our computerized gadgets may be greatly improved by dynamically adapting the system's dialogue interaction style to the user's profile and emotional status. In this book, a novel approach that combines speech-based emotion recognition with adaptive human-computer dialogue modeling is described. With the robust recognition of emotions from speech signals as their goal, the authors analyze the effectiveness of using a plain emotion recognizer, a speech-emotion recognizer combining speech and emotion recognition, and multiple speech-emotion recognizers at the same time. The semi-stochastic dialogue model employed relates user emotion management to the corresponding dialogue interaction history and allows the device to adapt itself to the context, including altering the stylistic realization of its speech. This comprehensive volume begins by introducing spoken language dialogue systems and providing an overview of human emotions, theories, categorization and emotional speech. It moves on to cover the adaptive semi-stochastic dialogue model and the basic concepts of speech-emotion recognition. Finally, the authors show how speech-emotion recognizers can be optimized, and how an adaptive dialogue manager can be implemented. The book, with its novel methods to perform robust speech-based emotion recognition at low complexity, will be of interest to a variety of readers involved in human-computer interaction.
Programming --- Computer architecture. Operating systems --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- Mathematical linguistics --- DIP (documentimage processing) --- beeldverwerking --- ICT (informatie- en communicatietechnieken) --- spraaktechnologie --- computers --- informatica --- multimedia --- emoties --- informatiesystemen --- KI (kunstmatige intelligentie) --- signaalverwerking --- interfaces
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