Abstract
Autonomous Speaker Agent (ASA) is a graphically embodied animated agent capable of reading plain English text and rendering it in a form of speech, accompanied by appropriate, natural-looking facial gestures [1]. This paper is focused on improving ASA’s head movement trajectories in order to achieve facial gestures that look as natural as possible. Based on the gathered data we proposed mathematical functions that, using two input parameters (maximum amplitude and duration of the gesture) generate natural-looking head motion trajectory. Proposed functions were implemented in our existing ASA platform and we compared them with our previous head movement models. Our results were shown to a larger number of people. The audience noticed that results showed improvement in head motion and didn’t detect any patterns which would suggest that animation was done with predefined motion trajectories.
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References
Smid, K., Pandzic, I.S., Radman, V.: Autonomous Speaker Agent. In: Proceedings of the Computer Animation and Social Agents Conference CASA 2004, Geneva, Switzerland (2004)
Smid, K., Zoric, G., Pandzic, I.S.: [HUGE] Universal Architecture for Statistically Based HUman GEsturing. In: Gratch, J., Young, M., Aylett, R.S., Ballin, D., Olivier, P. (eds.) IVA 2006. LNCS (LNAI), vol. 4133, pp. 256–269. Springer, Heidelberg (2006)
Busso, C., Deng, Z., Neumann, U., Narayanan, S.: Natural head motion synthesis driven by acoustic prosodic features. Computer Animation and Virtual Worlds 16(3-4), 283–290 (2005)
Rabiner, L.R.: A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition. Proceedings of the IEEE 77(2), 257–286 (1989)
Hofer, G., Shimodaira, H., Yamagishi, J.: Speech driven head motion synthesis based on a trajectory model. In: International Conference on Computer Graphics and Interactive Techniques. ACM SIGGRAPH 2007 posters, article no. 86, San Diego, USA (2007)
Zen, H., Tokudaa, K., Kitamura, T.: Reformulating the HMM as a trajectory model by imposing explicit relationships between static and dynamic feature vector sequences. Computer Speech & Language 21(1), 153–173 (2007)
Cassell, J., Vilhjálmsson, H., Bickmore, T.: BEAT: the Behavior Expression Animation Toolkit. SIGGRAPH 2001, pp. 477–486. ACM, New York (2001)
Abramowitz, M., Stegun, I.A. (eds.): Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables, 9th printing, pp. 878–879, 883. Dover, New York (1972)
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Brkic, M., Smid, K., Pejsa, T., Pandzic, I.S. (2008). Towards Natural Head Movement of Autonomous Speaker Agent. In: Lovrek, I., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2008. Lecture Notes in Computer Science(), vol 5178. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85565-1_10
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DOI: https://doi.org/10.1007/978-3-540-85565-1_10
Publisher Name: Springer, Berlin, Heidelberg
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