By Andri E. (Ed), Dybkjaer L. (Ed), Minker W. (Ed)
This ebook constitutes the refereed complaints of the overseas educational and study Workshop on Affective discussion structures, advertisements 2004, held in Kloster Irsee, Germany in June 2004.The 21 revised complete papers and 14 revised brief papers awarded have been rigorously reviewed and chosen for presentation. The papers are geared up in topical sections on emotion acceptance; affective consumer modeling; emotional databases, annotation schemes, and instruments; affective conversational brokers and discussion platforms; synthesis of emotional speech and facial animations; affective tutoring structures; review of affective discussion structures; and demonstrations.
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Extra info for Affective Dialogue Systems
MIT Press (2002) Meyer, Schützwohl, Reisenzein: Einführung in die Emotionspsychologie. : Classifying emotions in speech: A comparison of methods. In: Proc. of Eurospeech. : Pattern Classification. 2nd edn. : Integrated bias removal techniques for robust speech recognition. : Use of real and contaminated speech for training of a hands-free in-car speech recognizer. In: Proc. : Training of HMM with filtered speech material for hands-free recognition. In: Proc. ICASSP, Phoenix (USA) (1999) Emotion Recognition Using Bio-sensors: First Steps towards an Automatic System Andreas Haag, Silke Goronzy, Peter Schaich, and Jason Williams Sony Corporate Laboratories Europe, Hedelfinger Str.
Hence, the present study indicates that the application of modern inverse filtering techniques together with the NAQ parameter may aid in overcoming the methodological difficulties of voice quality studies applied to empirical study of vocal expression of emotion. Acknowledgements. This research was supported by the Academy of Finland (project number 200 859). Emotions in Short Vowel Segments 23 References 1. : Toward the simulation of emotion in synthetic speech: A review of the literature on human vocal emotion.
1st International Conference on Prosody. : Prosody-based classification of emotions in spoken finnish. In: Proc. : Improved emotion recognition with large set of statistical features. In: Proc. : Role of intonation patterns in conveying emotions in speech. In: Proc. : Approaching automatic recognition of emotion from voice: a rough benchmark. In: Proc. : Frequency distribution based weighted sub-band approach for classification of emotional/stressful content in speech. In: Proc. : Desperately seeking emotions or: Actors, wizards, and human beings.
Affective Dialogue Systems by Andri E. (Ed), Dybkjaer L. (Ed), Minker W. (Ed)