• DocumentCode
    2809065
  • Title

    Estimation of reflective surfaces from continuous signals

  • Author

    Tervo, Sakari ; Korhonen, Teemu

  • Author_Institution
    Dept. of Media Technol., Helsinki Univ. of Technol., Espoo, Finland
  • fYear
    2010
  • fDate
    14-19 March 2010
  • Firstpage
    153
  • Lastpage
    156
  • Abstract
    The geometry of an enclosure is of interest for example when synthesizing impulse responses or when studying concert halls. Recently, several approaches for estimation of the room geometry, or the reflective surfaces, have been proposed. These approaches use a priori information of the source signal for the room geometry estimation, typically, impulse response measurements. Here, a method for estimating the reflective surfaces from continuous signals, such as speech or music, is proposed. The method is based on inverse mapping of the acoustic multi-path propagation problem. The validity of the method is demonstrated in a real auditorium. With reasonable signal-to-noise ratio the proposed algorithm has less than 0.05 m error in the position of the point of reflection and less than 1 degree of error in the direction of the normal of the surface.
  • Keywords
    acoustic wave propagation; acoustic wave reflection; architectural acoustics; surface acoustic wave signal processing; transient response; acoustic multipath propagation problem; auditorium; concert halls; impulse response measurement; music signals; reflective surfaces; room geometry; signal-to-noise ratio; speech signals; Acoustic imaging; Acoustic measurements; Acoustic propagation; Acoustic reflection; Information geometry; Loudspeakers; Microphones; Signal synthesis; Speech; Underwater acoustics; Acoustic Source Localization; Reflective Surface Estimation; Room Acoustics; Room Geometry Estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
  • Conference_Location
    Dallas, TX
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-4295-9
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2010.5496104
  • Filename
    5496104