• DocumentCode
    2357383
  • Title

    Upscaling Ambisonic sound scenes using compressed sensing techniques

  • Author

    Wabnitz, Andrew ; Epain, Nicolas ; McEwan, Alistair ; Jin, Craig

  • Author_Institution
    Comput. & Audio Res. Lab. (CARLab), Univ. of Sydney, Sydney, NSW, Australia
  • fYear
    2011
  • fDate
    16-19 Oct. 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper considers the application of compressed sensing to spherical acoustics in order to improve spatial sound field reconstruction. More specifically, we apply compressed sensing techniques to a set of Ambisonic sound signals to obtain a super-resolution plane-wave decomposition of the original sound field. That is to say, we investigate using the plane-wave decomposition to increase the spherical harmonic order of the Ambisonic sound scene. We refer to this as upscaling the Ambisonic sound scene. A focus of the paper is using sub-band analysis to make the plane-wave decomposition more robust. Results show that the sub-band analysis does indeed improve the robustness of the plane-wave decomposition when dominant overlapping sources are present or in noisy or diffuse sound conditions. Upscaling Ambisonic sound scenes allows more loudspeakers to be used for spatial sound field reconstruction, resulting in a larger sweet spot and improved sound quality.
  • Keywords
    acoustic signal processing; signal reconstruction; compressed sensing techniques; spatial sound field reconstruction; spherical acoustics; spherical harmonic order; super resolution plane wave decomposition; upscaling ambisonic sound scenes; Acoustics; Arrays; Compressed sensing; Image reconstruction; Linear systems; Loudspeakers; Microphones; Acoustic signal processing; Compressed sensing; Signal reconstruction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applications of Signal Processing to Audio and Acoustics (WASPAA), 2011 IEEE Workshop on
  • Conference_Location
    New Paltz, NY
  • ISSN
    1931-1168
  • Print_ISBN
    978-1-4577-0692-9
  • Electronic_ISBN
    1931-1168
  • Type

    conf

  • DOI
    10.1109/ASPAA.2011.6082301
  • Filename
    6082301