Affective Dialogue Systems: Tutorial and Research Workshop, by Anton Batliner, Christian Hacker, Stefan Steidl, Elmar Nöth,

By Anton Batliner, Christian Hacker, Stefan Steidl, Elmar Nöth, Jürgen Haas (auth.), Elisabeth André, Laila Dybkjær, Wolfgang Minker, Paul Heisterkamp (eds.)

Human conversational companions are capable, at the least to a undeniable quantity, to realize the speaker’s or listener’s emotional nation and will try and reply to it as a result. whilst as a substitute one of many interlocutors is a working laptop or computer a couple of questions come up, resembling the next: To what volume are discussion structures in a position to simulate such behaviors? do we examine the mechanisms of emotional be- viors from watching and reading the habit of human audio system? How can emotionsbeautomaticallyrecognizedfromauser’smimics,gesturesandspeech? What percentages does a discussion procedure need to show feelings itself? And, very importantly, may emotional process habit be fascinating in any respect? Given the country of ongoing study into incorporating feelings in discussion platforms we stumbled on it well timed to arrange an instructional and learn Workshop on A?ectiveDialogueSystems(ADS2004)atKlosterIrseein GermanyduringJune 14–16, 2004. After profitable ISCA instructional and examine Workshops on Multimodal discussion structures on the comparable position in 1999 and 2002, we felt workshop concentrating on the position of a?ect in discussion will be a important continuation of the workshop sequence. as a result of its interdisciplinary nature, the workshop attracted submissions from researchers with very di?erent backgrounds and from many di?erent study parts, engaged on, for instance, discussion processing, speech acceptance, speech synthesis, embodied conversational brokers, special effects, animation, person modelling, tutoring platforms, cognitive structures, and human-computer inter- tion.

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The effects of emotions on voice quality. In: Processings of the XIVth International Congress of Phonetic Sciences, San Francisco (1999) 2029–2032 19. : The role of voice quality in communicating emotion, mood and attitude. Speech Communication 40 (2003) 189–212 20. : Estimation of the glottal pulseform based on discrete all-pole modeling. In: Proceedings of the International Conference on Spoken Language Processing, Yokohama (1994) 1619–1622 24 M. Airas and P. Alku 21. : A method for generating natural-sounding speech stimuli for cognitive brain research.

It therefore represented an appropriate first step for our classifier. The photoset was also amenable to a laboratory setting which was necessary in order to screen out any confounding variables such as physical exertion, visual or audio distractions which might influence the sensors. Having decided on the elicitation materials, it was then necessary to decide upon a procedure which enabled the elicitation of emotions in such a way that they were neither biased by the original mood of the participant nor by emotions elicited early on in the experiment.

For getting a closer look on the differences between acted and elicited speech, two corpora are compared, one recorded in a Wizard-of-Oz environment, the other one by a professional actor. To get comparable results, they are evaluated with the same classifiers, using the same set of features. The elicited database, AIBO, consists of four emotions (anger, happiness, sadness, boredom) with 32 utterances each. A fifth state is made up of neutral recordings. To account for within-speaker variance, each utterance has been recorded twice on different days.

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