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007			cr nn 008mamaa
008			100301s2010 ne | s |||| 0|eng d
020			_a9789048131297 _9978-90-481-3129-7
040			_cMX-MeUAM
050		4	_aP98-98.5
082	0	4	_a410.285 _223
100	1		_aPittermann, Johannes. _eauthor.
245	1	0	_aHandling Emotions in Human-Computer Dialogues _h[recurso electrónico] / _cby Johannes Pittermann, Angela Pittermann, Wolfgang Minker.
264		1	_aDordrecht : _bSpringer Netherlands : _bImprint: Springer, _c2010.
300			_aX, 276 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aHuman Emotions -- Adaptive Human-Computer Dialogue -- Hybrid Approach to Speech–Emotion Recognition -- Implementation -- Evaluation -- Conclusion and Future Directions.
520			_aAs 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.
650		0	_aLinguistics.
650		0	_aInformation systems.
650		0	_aMultimedia systems.
650		0	_aComputer science.
650		0	_aComputational linguistics.
650	1	4	_aLinguistics.
650	2	4	_aComputational Linguistics.
650	2	4	_aUser Interfaces and Human Computer Interaction.
650	2	4	_aSignal, Image and Speech Processing.
650	2	4	_aMultimedia Information Systems.
650	2	4	_aInformation Systems and Communication Service.
700	1		_aPittermann, Angela. _eauthor.
700	1		_aMinker, Wolfgang. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9789048131280
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-90-481-3129-7
596			_a19
942			_cLIBRO_ELEC
999			_c205412 _d205412