2010
D. Reidsma, A. Nijholt, W. Tschacher, and F. Ramseyer, "Measuring Multimodal Synchrony for Human-Computer Interaction," in Proceedings of Cyberworlds, Los Alamitos, 2010, pp. 67-71. full entry [ download ]
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Publications2011 D. Neiberg and K. P. Truong, "Online Detection of Vocal Listener Responses with Maximum Latency Constraints," in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), accepted for publication, 2011. full entry
2010 D. Reidsma, K. P. Truong, H. van Welbergen, D. Neiberg, S. Pammi, and I. A. de Kok, "Continuous Interaction with a Virtual Human," in Proceedings of the 6th International Summer Workshop on Multimodal Interfaces (eNTERFACE’10), Amsterdam, 2010, pp. 24-39. full entry [ download ]
2010 K. P. Truong, R. W. Poppe, and D. K. J. Heylen, "A rule-based backchannel prediction model using pitch and pause information," in Proceedings of Interspeech, 2010, pp. 3058-3061. full entry [ download ]
2010 K. P. Truong and D. K. J. Heylen, "Disambiguating the functions of conversational sounds with prosody: the case of \ýeah\’," in Proceedings of Interspeech, 2010, pp. 2554-2557. full entry [ download ]
2010 I. Steiner, M. Schöder, M. Charfuelan, and A. Klepp, "Symbolic vs. acoustics-based style control for expressive unit selection," in Seventh ISCA Tutorial and Research Workshop on Speech Synthesis, Kyoto, Japan, 2010. full entry [ download ]
2011 K. Prepin and C. Pelachaud, "Effect of time delays on agents’ interaction dynamics," in 10th conference on Autonomous Agent and Multiagents Systems AAMAS2011, 2011. full entry [ download ]
2011 K. Prepin and C. Pelachaud, "Shared understanding and Synchrony Emergence: Synchrony as an Indice of the Exchange of Meaning between Dialog Partners.," in ICAART2011 International Conference on Agent and Artificial Intelligence, 2011, pp. 25-30. full entry [ download ]
This is an alpha version of the nod shake detector trained on SSPNet data. The detector includes the Viola & Jones face detector and will work fine for most near-frontal-view and profile faces. The d...
The detector is trained for the Canal9 dataset of political debates. Detection is performed in the temporal domain, that is, only the start/end frames of the detected gestures are returned. The ge... |
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