Signal Processing Considerations for Immersive Audio Rendering

  • A. Mouchtaris
  • J.-S. Lim
  • T. Holman
  • C. Kyriakakis

Abstract

Immersive audio systems are being envisioned for applications that include teleconferencing and telepresence; augmented and virtual reality for manufacturing and entertainment; air traffic control, pilot warning, and guidance systems; displays for the visually-impaired; distance learning; and professional sound and picture editing for television and film. In this paper we examine signal processing issues that pertain to immersive audio rendering over loudspeakers. We propose two methods that can be used to implement the necessary filters for generating virtual sound sources based on synthetic head-related transfer functions with the same spectral characteristics as those of the real source. Furthermore, several factors are presented that pertain to high quality immersive audio reproduction at the desktop including acoustical and psychoacoustical considerations and the importance of dynamically adapting to listener’s head movement.

Keywords

Inverse Filter Direct Sound Cascade Filter Early Reflection Crosstalk Cancellation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    B. Shinn-Cunningham, “Adapting to discrepant information in multimedia displays”, presented at 134th Meeting of the Acoustical Society of America, San Diego, California, 1997.Google Scholar
  2. 2.
    C. Kyriakakis, “Fundamental and Technological Limitations of Immersive Audio Systems”, IEEE Proceedings, vol. 86, pp. 941–951, 1998.CrossRefGoogle Scholar
  3. 3.
    J. Blauert, Spatial Hearing: The Psychophysics of Human Sound Localization, Revised Edition. Cambridge, Massachusetts: MIT Press, 1997.Google Scholar
  4. 4.
    S. Mehrgard and V. Mellert, “Transformation Characteristics of the External Human Ear,” Journal of the Acoustical Society of America, vol. 51, pp. 1567–1576, 1977.CrossRefGoogle Scholar
  5. 5.
    F. L. Wightman and D. J. Kistler, “Monaural sound localization revisited,” Journal of the Acoustical Society of America, vol. 101, pp. 1050–63, 1997.CrossRefGoogle Scholar
  6. 6.
    T. D. Rossing, “Spatial hearing: the psychophysics of human sound localization,” American Journal of Physics, vol. 53, pp. 926–7, 1985.CrossRefGoogle Scholar
  7. 7.
    H. Moller, M. F. Sorensen, and D. Hammershoi, “Head-related transfer functions ofhuman subjects”, Journal of the Audio Engineering Society, vol. 43, pp. 300–21, 1995.Google Scholar
  8. 8.
    D. H. Cooper, “Calculator Program for Head-Related Transfer Functions”, Journal of the Audio Engineering Society, vol. 30, pp. 34–38, 1982.Google Scholar
  9. 9.
    C. P. Brown and R. O. Duda, “A Structural Model for Binaural Sound Synthesis,” IEEE Transactions on Speech and Audio Processing, vol. 6, pp. 476–488, 1998.CrossRefGoogle Scholar
  10. 10.
    M. R. Schroeder and B. S. Atal, “Computer Simulation of Sound Transmission in Rooms”, IEEE International Convention Record, vol. 7, 1963. Google Scholar
  11. 11.
    D. H. Cooper and J. L. Bauck, “Prospects for Transaural Recording”, Journal of the Audio Engineering Society, vol. 37, pp. 3–19, 1989.Google Scholar
  12. 12.
    C. Kyriakakis, T. Holman, J.-S. Lim, H. Hong, and H. Neven, “Signal Processing, Acoustics, and Psychoacoustics for High Quality Desktop Audio”, Journal of Visual Communication and Image Representation, vol. 9, pp. 51–61, 1997.CrossRefGoogle Scholar
  13. 13.
    J. Bauck and D. H. Cooper, “Generalized Transaural Stereo and Applications”, Journal of the Audio Engineering Society, vol. 44, pp. 683–705, 1996.Google Scholar
  14. 14.
    W. G. Gardner, “Transaural 3-D Audio”, MIT Media Laboratory, Technical Report 342, January/February 1995. Google Scholar
  15. 15.
    A. V. Oppenheim and R. W. Shafer, Discrete Time Signal Processing: Prentice Hall, 1989.MATHGoogle Scholar
  16. 16.
    S. Haykin, Adaptive Filter Theory, 3rd Edition: Prentice Hall, 1996.Google Scholar
  17. 17.
    T. Holman, “Monitoring Sound in the One-Person Environment”, SMPTE Journal, vol. 106, pp. 673–678, 1997.Google Scholar
  18. 18.
    F. E. Toole, “Loudspeaker measurements and their relationship to listener preferences”, Journal of the Audio Engineering Society, vol. 34, pp. 227–235, 1986.Google Scholar
  19. 19.
    S. Bech, “Perception of timbre of reproduced sound in small rooms: influence of room and loudspeaker position”, Journal of the Audio Engineering Society, vol. 42, pp. 999–1007, 1994.Google Scholar
  20. 20.
    S. E. Olive and F. E. Toole, “The detection of reflections in typical rooms”, Journal of the Audio Engineering Society, vol. 37, pp. 539–53, 1989.Google Scholar
  21. 21.
    R. Walker, “Early Reflections in Studio Control Rooms: The Results from the First Controlled Image Design Installations”, presented at 96th Meeting of the Audio Engineering Society, Amsterdam, 1994.Google Scholar
  22. 22.
    T. Holman and C. Kyriakakis, “Acoustics and Psychoacoustics of Desktop Sound Systems”, presented at Annual Meeting of the Acoustical Society of America, San Diego, California, 1997.Google Scholar

Copyright information

© Springer-Verlag London Limited 1999

Authors and Affiliations

  • A. Mouchtaris
    • 1
  • J.-S. Lim
    • 1
  • T. Holman
    • 1
  • C. Kyriakakis
    • 1
  1. 1.Immersive Audio Laboratory Integrated Media Systems CenterUniversity of Southern CaliforniaLos AngelesUSA

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