“BEAT: the Behavior Expression Animation Toolkit” by Cassell, Vilhjálmsson and Bickmore

  • ©

Conference:


Type(s):


Title:

    BEAT: the Behavior Expression Animation Toolkit

Presenter(s)/Author(s):



Abstract:


    The Behavior Expression Animation Toolkit (BEAT) allows animators to input typed text that they wish to be spoken by an animated human figure, and to obtain as output appropriate and synchronized nonverbal behaviors and synthesized speech in a form that can be sent to a number of different animation systems. The nonverbal behaviors are assigned on the basis of actual linguistic and contextual analysis of the typed text, relying on rules derived from extensive research into human conversational behavior. The toolkit is extensible, so that new rules can be quickly added. It is designed to plug into larger systems that may also assign personality profiles, motion characteristics, scene constraints, or the animation styles of particular animators.

References:


    1. Amaya, K., Bruderlin, A., and Calvert, T., Emotion from motion. Proc. Graphics Interface’96, pp. 222-229, 1996.
    2. Badler, N., Bindiganavale, R., Allbeck, J., Schuler, W., Zhao, L., and Palmer., M., Parameterized Action Representation for Virtual Human Agents., in Embodied Conversational Agents, J. Cassell, J. Sullivan, S. Prevost, and E. Churchill, Eds. Cambridge, MA: MIT Press, 2000, pp. 256-284.
    3. Becheiraz, P. and Thalmann, D., A Behavioral Animation System for Autonomous Actors personified by Emotions, Proc. of the1st Workshop on Embodied Conversational Characters, 57-65, 1998.
    4. Blumberg, B. and Galyean, T. A., Multi-Level Direction of Autonomous Creatures for Real-Time Virtual Environments. SIGGRAPH 95 Conference Proceedings, pp. 47-54, ACM SIGGRAPH, Addison Wesley, 1995.
    5. Bodenheimer, B., Rose, C., and Cohen, M., Verbs and Adverbs: Multidimensional Motion Interpolation, IEEE Computer Graphics and Applications, vol. 18 (5), pp. 32-40, 1998.
    6. Brand, M., Voice Puppetry. SIGGRAPH 99 Conference Proceedings, pp. 21-28, ACM SIGGRAPH, Addison Wesley, 1999.
    7. Bregler, C., Covell, M., and Slaney, M., Video Rewrite: driving visual speech with audio. SIGGRAPH 97 Conference Proceedings, pp. 353-360, ACM SIGGRAPH, Addison Wesley, 1997.
    8. Calvert, T., Composition of realistic animation sequences for multiple human figures, in Making Them Move: Mechanics, Control, and Animation of Articulated Figures, N. Badler, B. Barsky, and D. Zeltzer, Eds. San Mateo, CA: Morgan-Kaufmann, pp. 35-50, 1991.
    9. Cassell, J., Nudge, Nudge, Wink, Wink: Elements of Face-to-Face Conversation for Embodied Conversational Agents, in Embodied Conversational Agents, J. Cassell, J. Sullivan, S. Prevost, and E. Churchill, Eds. Cambridge: MIT Press, pp. 1-27, 2000.
    10. Cassell, J., Pelachaud, C., Badler, N., Steedman, M., Achorn, B., Becket, T., Douville, B., Prevost, S., and Stone, M., Animated Conversation: Rule-Based Generation of Facial Expression, Gesture and Spoken Intonation for Multiple Conversational Agents. Siggraph 94 Conference Proceedings, ACM SIGGRAPH, Addison Wesley, pp. 413-420, 1994.
    11. Cassell, J. and Prevost, S., Distribution of Semantic Features Across Speech and Gesture by Humans and Computers. Proc. Workshop on the Integration of Gesture in Language and Speech, pp. 253-270, Newark, DE, 1996.
    12. Cassell, J., Torres, O., and Prevost, S., Turn Taking vs. Discourse Structure: How Best to Model Multimodal Conversation, in Machine Conversations, Y. Wilks, Ed. The Hague: Kluwer, pp. 143-154, 1999.
    13. Chang, J., Action Scheduling in Humanoid Conversational Agents, M.S. Thesis in Electrical Engineering and Computer Science. Cambridge, MA: MIT, 1998.
    14. Chi, D., Costa, M., Zhao, L., and Badler, N., The EMOTE model for effort and shape. SIGGRAPH 00 Conference Proceedings, ACM SIGGRAPH, Addison Wesley, pp. 173-182, 2000.
    15. Colburn, A., Cohen, M. F., and Drucker, S., The Role of Eye Gaze in Avatar Mediated Conversational Interfaces, MSR-TR-2000-81. Microsoft Research, 2000.
    16. Halliday, M. A. K., Explorations in the Functions of Language. London: Edward Arnold, 1973.
    17. Hirschberg, J., Accent and Discourse Context: Assigning Pitch Accent in Synthetic Speech. Proc. AAAI 90, pp. 952-957, 1990.
    18. Hiyakumoto, L., Prevost, S., and Cassell, J., Semantic and Discourse Information for Text-to-Speech Intonation. Proc. ACL Workshop on Concept-to-Speech Generation, Madrid, 1997.
    19. Huang, X., Acero, A., Adcock, J., Hon, H.-W., Goldsmith, J., Liu, J., and Plumpe, M., Whistler: A Trainable Text-to-Speech System. Proc. 4th Int’l. Conf. on Spoken Language Processing (ICSLP ’96), pp. 2387- 2390, Piscataway, NJ, 1996.
    20. Kurlander, D., Skelly, T., and Salesin, D., Comic Chat, SIGGRAPH 96 Conference Proceedings, ACM SIGGRAPH, Addison Wesley, pp. 225-236, 1996.
    21. Lenat, D. B. and Guha, R. V., Building Large Knowledge-Based Systems: Representation and Inference in the Cyc Project. Reading, MA: Addison Wesley, 1990.
    22. Massaro, D. W., Perceiving Talking Faces: From Speech Perception to a Behavioral Principle. Cambridge, MA: MIT Press, 1987.
    23. McNeill, D., Hand and Mind: What Gestures Reveal about Thought. Chicago, IL/London, UK: The University of Chicago Press, 1992.
    24. Miller, G. A., Beckwith, R., Fellbaum, C., Gross, D., and Miller, K., Introduction to Wordnet: An On-line Lexical Database, 1993.
    25. Nagao, K. and Takeuchi, A., Speech Dialogue with Facial Displays: Multimodal Human-Computer Conversation. Proc. ACL 94, pp. 102-109., , 1994.
    26. Pearce, A., Wyvill, B., Wyvill, G., and Hill, D., Speech and expression: a computer solution to face animation. Proc. Graphics Interface, pp. 136-140, 1986.
    27. Pelachaud, C., Badler, N., and Steedman, M., Generating Facial Expressions for Speech, Cognitive Science, 20(1), pp. 1-46, 1994.
    28. Perlin, K., Noise, Hypertexture, Antialiasing and Gesture, in Texturing and Modeling, A Procedural Approach, D. Ebert, Ed. Cambridge, MA: AP Professional, 1994.
    29. Perlin, K. and Goldberg, A., Improv: A System for Scripting Interactive Actors in Virtual Worlds, Proceedings of SIGGRAPH ’96, pp. 205-216, 1996.
    30. Prevost, S. and Steedman, M., Specifying intonation from context for speech synthesis, Speech Communication, vol. 15, pp. 139-153, 1994.
    31. Roehl, B., Specification for a Standard Humanoid, Version 1.1, H. A. W. Group, Ed. http://ece.uwaterloo.ca/~h-anim/spec1.1/, 1999.
    32. Taylor, P., Black, A., and Caley, R., The architecture of the Festival Speech Synthesis System. Proc. 3rd ESCA Workshop on Speech Synthesis, pp. 147-151, Jenolan Caves, Australia, 1998.
    33. Waters, K. and Levergood, T., An Automatic Lip- Synchronization Algorithm for Synthetic Faces. Proc. of the 2nd ACM international conference on Multimedia, pp. 149-156, San Francisco CA, 1994.
    34. Yan, H., Paired Speech and Gesture Generation in Embodied Conversational Agents, M.S. thesis in the Media Lab. Cambridge, MA: MIT, 2000.


ACM Digital Library Publication:



Overview Page: