000 03786nam a22005295i 4500
001 978-90-481-3129-7
003 DE-He213
005 20140220084557.0
007 cr nn 008mamaa
008 100301s2010 ne | s |||| 0|eng d
020 _a9789048131297
_9978-90-481-3129-7
024 7 _a10.1007/978-90-481-3129-7
_2doi
050 4 _aP98-98.5
072 7 _aCFX
_2bicssc
072 7 _aLAN009000
_2bisacsh
072 7 _aCOM018000
_2bisacsh
082 0 4 _a410.285
_223
100 1 _aPittermann, Johannes.
_eauthor.
245 1 0 _aHandling Emotions in Human-Computer Dialogues
_h[electronic resource] /
_cby Johannes Pittermann, Angela Pittermann, Wolfgang Minker.
264 1 _aDordrecht :
_bSpringer Netherlands :
_bImprint: Springer,
_c2010.
300 _aX, 276p.
_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 _uhttp://dx.doi.org/10.1007/978-90-481-3129-7
912 _aZDB-2-SHU
999 _c113272
_d113272