Handling Emotions in Human-Computer Dialogues [recurso electrónico] / by Johannes Pittermann, Angela Pittermann, Wolfgang Minker.

Por: Pittermann, Johannes [author.]Colaborador(es): Pittermann, Angela [author.] | Minker, Wolfgang [author.] | SpringerLink (Online service)Tipo de material: TextoTextoEditor: Dordrecht : Springer Netherlands : Imprint: Springer, 2010Descripción: X, 276 p. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9789048131297Tema(s): Linguistics | Information systems | Multimedia systems | Computer science | Computational linguistics | Linguistics | Computational Linguistics | User Interfaces and Human Computer Interaction | Signal, Image and Speech Processing | Multimedia Information Systems | Information Systems and Communication ServiceFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 410.285 Clasificación LoC:P98-98.5Recursos en línea: Libro electrónicoTexto
Contenidos:
Human Emotions -- Adaptive Human-Computer Dialogue -- Hybrid Approach to Speech–Emotion Recognition -- Implementation -- Evaluation -- Conclusion and Future Directions.
En: Springer eBooksResumen: 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.
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Libro Electrónico Biblioteca Electrónica
Colección de Libros Electrónicos P98 -98.5 (Browse shelf(Abre debajo)) 1 No para préstamo 377532-2001

Human Emotions -- Adaptive Human-Computer Dialogue -- Hybrid Approach to Speech–Emotion Recognition -- Implementation -- Evaluation -- Conclusion and Future Directions.

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.

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