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Physically Based Sound Modeling. Class #13 (Feb 24) Doug James, CMU. Overview Class #13 (Feb 24). Physically based sound modeling Important aspects of PB sound: generation (impact, vibration, ...) emission propagation listening. Properties of Sound Waves. Speed:

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physically based sound modeling

Physically Based Sound Modeling

Class #13 (Feb 24)

Doug James, CMU

overview class 13 feb 24
OverviewClass #13 (Feb 24)
  • Physically based sound modeling
  • Important aspects of PB sound:
    • generation (impact, vibration, ...)
    • emission
    • propagation
    • listening
properties of sound waves
Properties of Sound Waves
  • Speed:
  • Speed in air is (approx) 344 m/s.
  • Speed in aluminum (longitudinal (sound) waves) is (approx) 5000 m/s (~3 miles/s).
  • Longitudinal waves usually travel faster than transverse
  • In general, speed is a function of frequency; important for solid materials.
slide4

Adam Stettner, Donald P. Greenberg, Computer Graphics Visualization For Acoustic Simulation, Computer Graphics (Proceedings of SIGGRAPH 89). 23(3), pp. 195-206, 1989.

  • Visualization of acoustic behavior of performance halls
slide5
Tapio Takala, James Hahn, Sound Rendering, Computer Graphics (Proceedings of SIGGRAPH 92). 26(2), pp. 211-220, 1992.
  • Introduced sound rendering to computer graphics
  • Modulate sound due to material properties
  • Do not account for shape of objects or location of collisions between objects
modal vibration sound models
Modal Vibration Sound Models
  • Simple but effective sound model for many hard objects
  • Modal vibration model accounts for
    • Shape of the object (related to frequency spectrum)
    • Location of the impact (related to timbre of sound)
    • Material of the struck object (via internal friction)
    • Force of the impact (related to amplitude of emitted sound)
  • Some related work...
    • Alex Pentland, John Williams, Good Vibrations: Modal Dynamics for Graphics and Animation, Computer Graphics (Proceedings of SIGGRAPH 89). 23(3), pp. 215-222, 1989.
    • K. van den Doel and D. K. Pai, The Sounds of Physical Shapes, Presence: Teleoperators and Virtual Environments, 7:4, The MIT Press, 1998. pp. 382--395.
    • Kees van den Doel , Paul G. Kry , Dinesh K. Pai, FoleyAutomatic: Physically Based Sound Effects for Interactive Simulation and Animation, SIGGRAPH 2001, p.537-544, August 2001. 
    • O\'Brien, J. F., Shen, C., Gatchalian, C. M., Synthesizing Sounds from Rigid-Body Simulations,  ACM SIGGRAPH 2002 Symposium on Computer Animation, San Antonio, Texas, July 21-22, pp. 175-182.
slide7

Sonic Explorer

First 9 eigenfunc’s of square plate

K. van den Doel and D. K. Pai, The Sounds of Physical Shapes, Presence: Teleoperators and Virtual Environments, 7:4, The MIT Press, 1998. pp. 382--395.

  • Introduced modal sound maps
  • Details on whiteboard
  • (1996 preprint online)
an interesting aside can one hear the shape of a drum

http://hilbert.dartmouth.edu/~doyle/docs/drum/drum/drum.html

An interesting aside... “Can one hear the shape of a drum?”
  • M. Kac. Can one hear the shape of a drum? Amer. Math. Monthly, 73, 1966.
  • C. Gordon, D. Webb, and S. Wolpert. One cannot hear the shape of a drum. Bull. Amer. Math. Soc., 27:134-138, 1992
  • Example of a planar isospectral domain:
slide10

Dinesh K. Pai, Kees van den Doel, Doug L. James, Jochen Lang, John E. Lloyd, Joshua L. Richmond, Som H. Yau, Scanning Physical Interaction Behavior of 3D Objects, Proceedings of ACM SIGGRAPH 2001. pp. 87-96, 2001.

  • Modal sound maps can be scanned from real objects
  • Estimate {f,d,A}
slide11

Dinesh K. Pai, Kees van den Doel, Doug L. James, Jochen Lang, John E. Lloyd, Joshua L. Richmond, Som H. Yau, Scanning Physical Interaction Behavior of 3D Objects, Proceedings of ACM SIGGRAPH 2001. pp. 87-96, 2001.

slide12

Kees van den Doel , Paul G. Kry , Dinesh K. Pai, FoleyAutomatic: Physically Based Sound Effects for Interactive Simulation and Animation, SIGGRAPH 2001, p.537-544, August 2001. 

  • FoleyAutomatic slideshow...
slide13
James F. O\'Brien , Perry R. Cook , Georg Essl, Synthesizing Sounds from Physically Based Motion, SIGGRAPH 2001, p.529-536, August 2001. 
  • Brute force computation of sound emission for deformable objects
  • FEM with explicit time-stepping
      • dt = 10-6 – 10-7
  • Captures effects of larger deformations
  • Acoustic pressure:
  • Sound emission:
  • Delay based on distance:
slide14
James F. O\'Brien , Perry R. Cook , Georg Essl, Synthesizing Sounds from Physically Based Motion, SIGGRAPH 2001, p.529-536, August 2001. 
slide15
James F. O\'Brien , Perry R. Cook , Georg Essl, Synthesizing Sounds from Physically Based Motion, SIGGRAPH 2001, p.529-536, August 2001. 
slide16

O\'Brien, J. F., Shen, C., Gatchalian, C. M., Synthesizing Sounds from Rigid-Body Simulations,  ACM SIGGRAPH 2002 Symposium on Computer Animation, San Antonio, Texas, July 21-22, pp. 175-182.

  • Use modal models in a rigid body simulator
  • Calculated per-mode emission coefficients
sound propagation
Sound Propagation
  • Various approximations of sound wave propagation
  • Specular reflection and diffraction phenomena important
  • For a good summary, see
      • Funkhouser et al., “Sounds Good to Me!” Computational Sound for Graphics, Virtual Reality, and Interactive Systems SIGGRAPH 2002 Course notes.
wave propagation methods
Wave Propagation Methods
  • Solve wave equation explicitly
  • FEM, BEM, or ...
  • Expensive
  • Ineffective for real-time acoustics
geometric sound propagation
Geometric Sound Propagation
  • Ray-tracing (& beam-tracing)
  • High-frequency approximation
slide20

Thomas A. Funkhouser, Patrick Min, Ingrid Carlbom.Real-Time Acoustic Modeling for Distributed Virtual EnvironmentsProceedings of SIGGRAPH 99. pp. 365-374, 1999.

  • Beam-tracing
  • Video
slide21

Nicolas Tsingos, Thomas Funkhouser, Addy Ngan, Ingrid Carlbom.Modeling Acoustics in Virtual Environments Using the Uniform Theory of DiffractionProceedings of ACM SIGGRAPH 2001. pp. 545-552, 2001.

  • Extends beam tracing
  • Includes diffraction effects
  • Video
the head related transfer function hrtf
The Head Related Transfer Function (HRTF)
  • Model overall effects of head, ear, and torso on sound propagation
  • Simulated or measured
  • MIT’s KEMAR dummy HRTF available
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