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Titlebook: Handling Emotions in Human-Computer Dialogues; Johannes Pittermann,Angela Pittermann,Wolfgang Min Book 20101st edition Springer Science+Bu

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發(fā)表于 2025-3-21 17:11:05 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Handling Emotions in Human-Computer Dialogues
編輯Johannes Pittermann,Angela Pittermann,Wolfgang Min
視頻videohttp://file.papertrans.cn/424/423919/423919.mp4
概述A unique book that takes emotional aspects of human-machine interaction and adaptive dialogue systems as its focal point.Presents novel methods to perform robust speech-based emotion recognition at lo
圖書(shū)封面Titlebook: Handling Emotions in Human-Computer Dialogues;  Johannes Pittermann,Angela Pittermann,Wolfgang Min Book 20101st edition Springer Science+Bu
描述.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 inte
出版日期Book 20101st edition
關(guān)鍵詞Computational Linguistics; Human-Computer Interaction; Recognition; Speech signal processing; Spoken dia
版次1
doihttps://doi.org/10.1007/978-90-481-3129-7
isbn_softcover978-94-007-9170-1
isbn_ebook978-90-481-3129-7
copyrightSpringer Science+Business Media B.V. 2010
The information of publication is updating

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Adaptive Human-Computer Dialogue,e. This can be situation-related parameters, e.g., a person is in a hurry, the environment is noisy, it is raining, etc., or speaker-related parameters, e.g., a person is sad because a close relative has died, a person is nervous because of an upcoming examination, etc. Furthermore, humans tend to u
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Implementation, theoretical aspects of the integration of emotions into adaptive SLDSs. This groundwork, however, features a large potential for improvement as well as a high degree of flexibility concerning an implementation. In this chapter, we identify approaches to improve the performance of our emotion and sp
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Evaluation, of the major challenges in the evaluation of human–computer interfaces. We have given a synopsis about the evaluation of SLDS in Section 1.5 (cf. also Fig. 1.3). In the following section, we outline further aspects of the evaluation of SLDSs and their components. In the remainder of this chapter, w
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Conclusion and Future Directions,ech synthesis, spoken language dialogue systems take on an important place in everyday life. SLDSs have evolved from the first commercially available systems which did not feature much more than isolated word or command recognition with a very limited vocabulary to natural language systems including
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Johannes Pittermann,Angela Pittermann,Wolfgang Minkerl. People are learning that the resiliency of soil is finite and that soil degradation is not easily reversed, if ever. The focus of land degradation in this century has been on soil erosion, as increasing areas of forest, grassland, and wetland have been cleared for crop production. Soil erosion re
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