Titlebook: Verbal and Nonverbal Features of Human-Human and Human-Machine Interaction; COST Action 2102 Int Anna Esposito,Nikolaos G. Bourbakis,Ioanni

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Verbal and Nonverbal Features of Human-Human and Human-Machine InteractionCOST Action 2102 Int

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Anna Esposito,Nikolaos G. Bourbakis,Ioannis Hatzil

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Data Mining Spontaneous Facial Behavior with Automatic Expression Codingmovements. Automated classifiers were able to differentiate real from fake pain significantly better than naïve human subjects, and to detect critical drowsiness above 98% accuracy.  Issues for application of machine learning systems to facial expression analysis are discussed.

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The Organization of a Neurocomputational Control Model for Articulatory Speech Synthesisntly capable of generating acoustic speech signals by controlling an articu latory-acoustic vocal tract model. The module developed thus far is capable of producing single sounds (vowels and consonants), simple CV- and VC-syllables, and first sample words. In addition, processes of human-human inter

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ECESS Platform for Web Based TTS Modules and Systems Evaluationessary modules of other partners. By using the RES client they could also build-up a complete TTS system via web, without using any of their own modules. Several partners can contribute their modules, even with the same functionality, and it is easy to add a new module to the whole web-based distrib

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