“NeuralSound: Learning-based Modal Sound Synthesis with Acoustic Transfer” by Jin, Li, Wang and Manocha

  • ©Xutong Jin, Sheng Li, Guoping Wang, and Dinesh Manocha

Conference:


Title:


    NeuralSound: Learning-based Modal Sound Synthesis with Acoustic Transfer

Program Title:


    Labs Demo

Presenter(s):


Description:


    We present a novel learning-based modal sound synthesis approach that includes a mixed vibration solver for modal analysis and a radiation network for acoustic transfer. Our mixed vibration solver consists of a 3D sparse convolution network and a Locally Optimal Block Preconditioned Conjugate Gradient (LOBPCG) module for iterative optimization. Moreover, we highlight the correlation between a standard numerical vibration solver and our network architecture. Our radiation network predicts the Far-Field Acoustic Transfer maps (FFAT Maps) from the surface vibration of the object. The overall running time of our learning-based approach for most new objects is less than one second on a RTX 3080 Ti GPU while maintaining a high sound quality close to the ground truth solved by standard numerical methods. We also evaluate the numerical and perceptual accuracy of our approach on different objects with various shapes and materials.

References:


    1. Peter Arbenz, Ulrich L Hetmaniuk, Richard B Lehoucq, and Raymond S Tuminaro. 2005. A comparison of eigensolvers for large-scale 3D modal analysis using AMG-preconditioned iterative methods. Internat. J. Numer. Methods Engrg. 64, 2 (2005), 204–236.
    2. Timo Betcke and Matthew W Scroggs. 2021. Bempp-cl: A fast Python based just-in-time compiling boundary element library. Journal of Open Source Software 6, 59 (2021), 2879.
    3. Nicolas Bonneel, George Drettakis, Nicolas Tsingos, Isabelle Viaud-Delmon, and Doug James. 2008. Fast modal sounds with scalable frequency-domain synthesis. In ACM SIGGRAPH 2008 papers. 1–9.
    4. William L Briggs, Van Emden Henson, and Steve F McCormick. 2000. A multigrid tutorial. SIAM.
    5. Jeffrey N Chadwick, Steven S An, and Doug L James. 2009. Harmonic shells: a practical nonlinear sound model for near-rigid thin shells. ACM Transactions on Graphics (Proceedings of SIGGRAPH 2009) 28, 5 (2009), 1–10.
    6. Jeffrey N. Chadwick, Changxi Zheng, and Doug L. James. 2012. Precomputed Acceleration Noise for Improved Rigid-Body Sound. ACM Transactions on Graphics (Proceedings of SIGGRAPH 2012) 31, 4 (Aug. 2012).
    7. Christopher Choy, JunYoung Gwak, and Silvio Savarese. 2019. 4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 3075–3084.
    8. Perry R. Cook. 1995. Integration of Physical Modeling for Synthesis and Animation. In Proceedings of the 1995 International Computer Music Conference, ICMC 1995, Banff, AB, Canada, September 3–7, 1995. Michigan Publishing.
    9. Erwin Coumans and Yunfei Bai. 2016. Pybullet, a python module for physics simulation for games, robotics and machine learning. (2016).
    10. Lothar Cremer and Manfred Heckl. 2013. Structure-borne sound: structural vibrations and sound radiation at audio frequencies. Springer Science & Business Media.
    11. Jed A. Duersch, Meiyue Shao, Chao Yang, and Ming Gu. 2018. A Robust and Efficient Implementation of LOBPCG. SIAM Journal on Scientific Computing 40, 5 (2018), C655–C676.
    12. Benjamin Graham, Martin Engelcke, and Laurens Van Der Maaten. 2018. 3d semantic segmentation with submanifold sparse convolutional networks. In Proceedings of the IEEE conference on computer vision and pattern recognition. 9224–9232.
    13. Benjamin Graham and Laurens van der Maaten. 2017. Submanifold Sparse Convolutional Networks. arXiv preprint arXiv:1706.01307 (2017).
    14. Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016. Deep residual learning for image recognition. In Proceedings of the IEEE conference on computer vision and pattern recognition. 770–778.
    15. Doug L. James. 2016. Physically Based Sound for Computer Animation and Virtual Environments. In ACM SIGGRAPH 2016 Courses (Anaheim, California) (SIGGRAPH ’16). Association for Computing Machinery, New York, NY, USA, Article 22, 8 pages.
    16. Doug L James, Jernej Barbič, and Dinesh K Pai. 2006. Precomputed acoustic transfer: output-sensitive, accurate sound generation for geometrically complex vibration sources. ACM Transactions on Graphics (Proceedings of SIGGRAPH 2006) 25, 3 (2006), 987–995.
    17. Xutong Jin, Sheng Li, Tianshu Qu, Dinesh Manocha, and Guoping Wang. 2020. Deep-Modal: Real-Time Impact Sound Synthesis for Arbitrary Shapes. In Proceedings of the 28th ACM International Conference on Multimedia (Seattle, WA, USA) (MM ’20). Association for Computing Machinery, New York, NY, USA, 1171–1179.
    18. Diederik P Kingma and Jimmy Ba. 2015. Adam: A Method for Stochastic Optimization. In ICLR (Poster).
    19. Stephen Kirkup. 2019. The boundary element method in acoustics: A survey. Applied Sciences 9, 8 (2019), 1642.
    20. Andrew Knyazev. 1997. New estimates for Ritz vectors. Mathematics of computation 66, 219 (1997), 985–995.
    21. Andrew V Knyazev. 1998. Preconditioned eigensolvers—an oxymoron. Electron. Trans. Numer. Anal 7 (1998), 104–123.
    22. Andrew V Knyazev. 2001. Toward the optimal preconditioned eigensolver: Locally optimal block preconditioned conjugate gradient method. SIAM journal on scientific computing 23, 2 (2001), 517–541.
    23. Sebastian Koch, Albert Matveev, Zhongshi Jiang, Francis Williams, Alexey Artemov, Evgeny Burnaev, Marc Alexa, Denis Zorin, and Daniele Panozzo. 2019. ABC: A Big CAD Model Dataset For Geometric Deep Learning. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
    24. Cornelius Lanczos. 1950. An iteration method for the solution of the eigenvalue problem of linear differential and integral operators. United States Governm. Press Office Los Angeles, CA.
    25. Timothy R. Langlois, Steven S. An, Kelvin K. Jin, and Doug L. James. 2014. Eigenmode Compression for Modal Sound Models. ACM Transactions on Graphics (Proceedings of SIGGRAPH 2014) 33, 4 (Aug. 2014).
    26. R. B. Lehoucq, D. C. Sorensen, and C. Yang. 1997. ARPACK Users Guide: Solution of Large Scale Eigenvalue Problems by Implicitly Restarted Arnoldi Methods.
    27. Dingzeyu Li, Yun Fei, and Changxi Zheng. 2015. Interactive acoustic transfer approximation for modal sound. ACM Transactions on Graphics (Proceedings of SIGGRAPH 2015) 35, 1 (2015), 1–16.
    28. Shiguang Liu and Dinesh Manocha. 2020. Sound Synthesis, Propagation, and Rendering: A Survey. arXiv preprint arXiv:2011.05538 (2020).
    29. Yijun Liu. 2009. Fast multipole boundary element method: theory and applications in engineering. Cambridge university press.
    30. Ravish Mehra, Nikunj Raghuvanshi, Lakulish Antani, Anish Chandak, Sean Curtis, and Dinesh Manocha. 2013. Wave-based sound propagation in large open scenes using an equivalent source formulation. ACM Transactions on Graphics (Proceedings of SIGGRAPH 2013) 32, 2 (2013), 1–13.
    31. Hsien-Yu Meng, Zhenyu Tang, and Dinesh Manocha. 2021. Point-based Acoustic Scattering for Interactive Sound Propagation via Surface Encoding. CoRR abs/2105.08177 (2021).
    32. James F. O’Brien, Chen Shen, and Christine M. Gatchalian. 2002. Synthesizing Sounds from Rigid-Body Simulations. In Proceedings of the 2002 ACM SIGGRAPH/Eurographics Symposium on Computer Animation (San Antonio, Texas) (SCA ’02). Association for Computing Machinery, New York, NY, USA, 175–181.
    33. Dinesh K Pai, Kees van den Doel, Doug L James, Jochen Lang, John E Lloyd, Joshua L Richmond, and Som H Yau. 2001. Scanning physical interaction behavior of 3D objects. In Proceedings of the 28th annual conference on Computer graphics and interactive techniques. 87–96.
    34. Charles Ruizhongtai Qi, Li Yi, Hao Su, and Leonidas J Guibas. 2017. Pointnet++: Deep hierarchical feature learning on point sets in a metric space. In Advances in neural information processing systems. 5099–5108.
    35. Nikunj Raghuvanshi and Ming C Lin. 2006. Interactive sound synthesis for large scale environments. In Proceedings of the 2006 symposium on Interactive 3D graphics and games. 101–108.
    36. Anton Ratnarajah, Shi-Xiong Zhang, Meng Yu, Zhenyu Tang, Dinesh Manocha, and Dong Yu. 2021. FAST-RIR: Fast neural diffuse room impulse response generator. 
    37. Zhimin Ren, Hengchin Yeh, and Ming C Lin. 2013. Example-guided physically based modal sound synthesis. ACM Transactions on Graphics (Proceedings of SIGGRAPH 2013) 32, 1 (2013), 1–16.
    38. Olaf Ronneberger, Philipp Fischer, and Thomas Brox. 2015. U-net: Convolutional networks for biomedical image segmentation. In International Conference on Medical image computing and computer-assisted intervention. Springer, 234–241.
    39. Atul Rungta, Carl Schissler, Ravish Mehra, Chris Malloy, Ming Lin, and Dinesh Manocha. 2016. SynCoPation: Interactive synthesis-coupled sound propagation. IEEE transactions on visualization and computer graphics 22, 4 (2016), 1346–1355.
    40. Ahmed A Shabana. 1991. Theory of vibration. Vol. 2. Springer.
    41. Auston Sterling, Nicholas Rewkowski, Roberta L Klatzky, and Ming C Lin. 2019. Audio-material reconstruction for virtualized reality using a probabilistic damping model. IEEE transactions on visualization and computer graphics 25, 5 (2019), 1855–1864.
    42. Hang Su, Subhransu Maji, Evangelos Kalogerakis, and Erik Learned-Miller. 2015. Multi-view convolutional neural networks for 3d shape recognition. In Proceedings of the IEEE international conference on computer vision. 945–953.
    43. Zhenyu Tang, Rohith Aralikatti, Anton Ratnarajah, and Dinesh Manocha. 2022. GWA: A Large High-Quality Acoustic Dataset for Audio Processing. 
    44. Kees van de Doel and Dinesh K Pai. 1996. Synthesis of shape dependent sounds with physical modeling. Georgia Institute of Technology.
    45. Kees van den Doel, Paul G. Kry, and Dinesh K. Pai. 2001. FoleyAutomatic: Physically-Based Sound Effects for Interactive Simulation and Animation (SIGGRAPH ’01). Association for Computing Machinery, New York, NY, USA.
    46. Jui-Hsien Wang and Doug L. James. 2019. KleinPAT: Optimal Mode Conflation for Time-domain Precomputation of Acoustic Transfer. ACM Transactions on Graphics (Proceedings of SIGGRAPH 2019) 38, 4, Article 122 (July 2019), 12 pages.
    47. Zhirong Wu, Shuran Song, Aditya Khosla, Fisher Yu, Linguang Zhang, Xiaoou Tang, and Jianxiong Xiao. 2015. 3D shapenets: A deep representation for volumetric shapes. In Proceedings of the IEEE conference on computer vision and pattern recognition. 1912–1920.
    48. Tianxiang Zhang, Sheng Li, Dinesh Manocha, Guoping Wang, and Hanqiu Sun. 2015. Quadratic Contact Energy Model for Multi-impact Simulation. In Computer Graphics Forum, Vol. 34. Wiley Online Library, 133–144.
    49. Changxi Zheng and Doug L James. 2010. Rigid-body fracture sound with precomputed soundbanks. In ACM SIGGRAPH 2010 papers. 1–13.
    50. Changxi Zheng and Doug L James. 2011. Toward high-quality modal contact sound. In ACM SIGGRAPH 2011 papers. 1–12.

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