emotion-research.net

to appear

André, E., & Pelachaud, C. (to appear). Interacting with embodied conversational agents. In Fang Chen, Kristiina Jokinen (Ed.), New Trends in Speech Based Interactive Systems. Springer.

Pelachaud, C. (to appear). Studies on gesture expressivity for a virtual agent. Speech Communication, special issue in honor of Bjorn Granstrom and Rolf Carlson:.

Pelachaud, C. (to appear). Embodied conversational agent e.c.a.. In K. R. Scherer, & D. Sander (Ed.), Oxford Companion to the affective sciences. Oxford University Press.

2012

Chaspari, T., Mower Provost, E., Katsamanis, A., & Narayanan, S. (2012). An acoustic analysis of shared enjoyment in eca interactions of children with autism. Proceedings of the International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Gupta, R., Lee, C., & Narayanan, S. (2012). Classification of emotional content of sighs in dyadic human interactions. Proceedings of the International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Hammal, Z., & Kunz, M. (2012). Pain monitoring: a dynamic and context-sensitive system . Pattern Recognition: 45 (4), 1265--1280.

Lee, S., & Narayanan, S. (2012). Effects of emotion on the lower lip movements at phrase boundaries. Proceedings of Speech Prosody.

Li, M., Metallinou, A., Bone, D., & Narayanan, S. (2012). Speaker states recognition using latent factor analysis based eigenchannel factor vector modeling. Proceedings of the International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Metallinou, A., Katsamanis, A., & Narayanan, S. (2012). A hierarchical framework for modeling multimodality and emotional evolution in affective dialogs. Proceedings of the International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Schuller, B., Hantke, S., Weninger, F., Han, W., Zhang, Z., & Narayanan, S. (2012). Automatic recognition of emotion evoked by general sound events. Proceedings of the International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Schuller, B., Steidl, S., Batliner, A., Burkhardt, F., Devillers, L., Muller, C., & Narayanan, S. (2012). Paralinguistics in speech and language–state-of-the-art and the challenge. Computer, Speech, and Language:.

Wollmer, M., Metallinou, A., Katsamanis, A., Schuller, B., & Narayanan, S. (2012). Analyzing the memory of blstm neural networks for enhanced emotion classification in dyadic spoken interactions. Proceedings of the International Conference on Acoustics, Speech and Signal Processing (ICASSP).

2011

Audhkhasi, K., & Narayanan, S.S. (2011). Emotion classification from speech using evaluator reliability-weighted combination of ranked lists. In Proceedings of IEEE International Conference on Audio, Speech and Signal Processing (ICASSP).

Black, M.P., Katsamanis, A., Baucom, B., Lee, C., Lammert, A., Christensen, A., Georgiou, P.G., & Narayanan, S.S. (2011). Toward automating a human behavioral coding system for married couples' interactions using speech acoustic features. Speech Communication:.

Bone, D., Black, M.P., Li, M., Metallinou, A., Lee, S., & Narayanan, S. (2011). Intoxicated speech detection by fusion of speaker normalized hierarchical features and gmm supervectors.. Proceedings of Interspeech, Florence, Italy.

Busso, C., Metallinou, A., & Narayanan, S.S. (2011). Iterative feature normalization for emotional speech detection. In Proceedings of IEEE International Conference on Audio, Speech and Signal Processing (ICASSP).

Calvo, R.A., & D'Mello, S.K. (2011). New perspectives on affect and learning technologies. New York: Springer.

Chanel, G., Rebetez, C., Betrancourt, M., & Pun, T. (2011). Emotion assessment from physiological signals for adaptation of games difficulty. System Mans and Cybernetics, Part A:.

Georgiou, P.G., Black, M.P., & Narayanan, S.S. (2011). Behavioral signal processing for understanding (distressed) dyadic interactions: some recent developments. Third International Workshop on Social Signal Processing (SSPW’11), ACM Multimedia’11 (pp. 7-12).

Georgiou, P.G., Black, M.P., Lammert, A., Baucom, B., & Narayanan, S.S. (2011). That's aggravating, very aggravating": is it possible to classify behaviors in couple interactions using automatically derived lexical features. Proceedings of Affective Computing and Intelligent Interaction (ACII), Lecture Notes in Computer Science.

Hammal, Z. (2011). Efficient detection of consecutive facial expression apices using biologically based log-normal filters.. In George Bebis (Ed.), Advances in Visual Computing, : Lecture Notes in Computer Science (6938/2011 ed., pp. 586--595). Springer Berlin / Heidelberg.

Hammal, Z., & Massot , C. (2011). Gabor-like image filtering for transient feature detection and global energy estimation applied to multi-expression classification. In Richard, Paul; Braz, José (Ed.), Computer Vision, Imaging and Computer Graphics. Theory and Applications: Communications in Computer and Information Science (CCIS 229 ed., pp. 135--153). Springer.

Hussain, M.S., AlZoubi, O., Calvo, R.A., & D’Mello, S.K. (2011). Affect detection from multichannel physiology during learning sessions with autotutor. In Biswas, Gautam and Bull, Susan and Kay, Judy and Mitrovic, Antonija (Ed.), Artificial Intelligence in Education (pp. 131–138). Auckland, New Zealand: Springer, LNCS Vol 6738.

Hussain, M.S., & Calvo, R.A. (2011). Multimodal affect detection from physiological and facial features during its interaction. In Biswas, Gautam and Bull, Susan and Kay, Judy and Mitrovic, Antonija (Ed.), Artificial Intelligence in Education (pp. 472–474). Auckland, New Zealand: Springer, LNCS Vol 6738.

Katsamanis, A., Gibson, J., Black, M.P., & Narayanan, S.S. (2011). Multiple instance learning for classification of human behavior observations. Proceedings of Affective Computing and Intelligent Interaction (ACII), Lecture Notes in Computer Science.