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Decades of advances in computer graphics have made it possible to convincingly animate a wide range of physical phenomena, such as fracturing solids and splashing water. Unfortunately, our visual simulations are essentially "silent movies" with sound added as an afterthought. In this talk, I will describe recent progress on physics-based sound synthesis algorithms that can help simulate rich multi-sensory experiences where graphics, motion, and sound are synchronized and highly engaging. I will describe work on specific sound phenomena, highlight the important roles played by precomputation techniques and reduced-order models for vibration, radiation, and collision processing, and discuss how to bridge the gap between high-quality offline and real-time sound synthesis.
Doug L. James is a Full Professor of Computer Science at Stanford University since June 2015, and was previously an Associate Professor of Computer Science at Cornell University from 2006-2015. He holds three degrees in applied mathematics, including a Ph.D. in 2001 from the University of British Columbia. In 2002 he joined the School of Computer Science at Carnegie Mellon University as an Assistant Professor, before joining Cornell in 2006. His research interests include computer graphics, computer sound, physically based animation, and reduced-order physics models. Doug is a recipient of a National Science Foundation CAREER award, and a fellow of both the Alfred P. Sloan Foundation and the Guggenheim Foundation. He received a Technical Achievement Award from The Academy of Motion Picture Arts and Sciences for "Wavelet Turbulence," and the Katayanagi Emerging Leadership Prize from Carnegie Mellon University and Tokyo University of Technology. He was the Technical Papers Program Chair of ACM SIGGRAPH 2015, and a senior research consultant at Pixar Animation Studios (2015-2020). Since 2022 he has been a consulting Senior Research Scientist at NVIDIA.
