2011
S. Pammi, M. Schröder, and M. Charfuelan, "Multidimensional meaning annotation of listener vocalizations for synthesis," in Proc. Workshop Emotion and Computing, Berlin, Germany, 2011. full entry [ download ]
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Publications2011 M. Charfuelan and M. Schröder, "Investigating the prosody and voice quality of social signals in scenario meetings," in Proc. Affective Computing and Intelligent Interaction, Memphis, TN, USA, 2011. full entry [ download ]
2011 M. Charfuelan and M. Schröder, "The vocal effort of dominance in scenario meetings," in Proc. Interspeech, Florence, Italy, 2011. full entry [ download ]
2011 M. Schröder, M. Charfuelan, S. Pammi, and I. Steiner, "Open source voice creation toolkit for the MARY TTS Platform," in Proc. Interspeech, Florence, Italy, 2011. full entry [ download ]
We are seeking a highly creative and motivated postdoctoral Research associate to join the Multimodal Communication and Machine Learning Laboratory (Multicomp Lab) at USC Institute for Creative Technologies (close to Venice Beach, CA). The research area for this position is multi-view sequential learning for audio-visual recognition of social and psychological signals (e.g., distress, rapport). The [...] [...] Best Paper Award on Social Signal Processing To promote research and visibility of Social Signal Processing, the EU Social Signal Processing Network of Excellence SSPNet will provide the coming years a Best Paper Award on Social Signal Processing for PhD students or young researchers having received a PhD in less than 2 years from Technical Sciences and Human Sciences working in the [...] [...]
Elckerlyc is a BML compliant behavior realizer for generating multimodal verbal and nonverbal behavior for Virtual Humans (VHs). It is designed specifically for continuous (as opposed to turn-based) ... 2011 B. Schuller, M. Valstar, F. Eyben, G. McKeown, R. Cowie, and M. Pantic, "AVEC 2011 -The First International Audio Visual Emotion Challenge," in ACII 2011, 2011. full entry
[ June 25, 2011; 9:00 pm; ] Mission A widely accepted prediction is that computing will move to the background, weaving itself into the fabric of our everyday living spaces and projecting the human user into the foreground. To realize this prediction, next-generation computing will need to develop anticipatory user interfaces that are human-centered, built for humans, and based on naturally occurring multimodal [...] [...] [ December 1, 2011; ] Mission The ability to understand and manage social signals of a person we are communicating with is the core of social intelligence. Social Intelligence is a facet of human intelligence that has been argued to be indispensable and perhaps the most important for success in life. A widely accepted prediction is that next-generation computing needs to [...] [...] |
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