• DocumentCode
    1535759
  • Title

    Spatial Encoding of Finite Difference Time Domain Acoustic Models for Auralization

  • Author

    Southern, Alex ; Murphy, Damian T. ; Savioja, Lauri

  • Author_Institution
    Department of Media Technology, Aalto University School of Science, Espoo, Finland
  • Volume
    20
  • Issue
    9
  • fYear
    2012
  • Firstpage
    2420
  • Lastpage
    2432
  • Abstract
    A single room impulse response can reveal information about the acoustics of a given space in both objective, and, when used for auralization, subjective terms. However, for additional spatial information, or more accurate and perceptually convincing auralization, multiple impulse responses are needed. Higher order Ambisonics is a robust means of capturing the spatial qualities of an acoustic space over multiple channels for decoding and rendering over many possible speaker layouts. A method for obtaining N th-order Ambisonic impulse responses from a room acoustic model, based on lower orders using differential microphone techniques is presented. This is tested using a third-order encoding of a 2-D finite difference time domain room acoustic simulation based on multiple circular arrays of receivers. Accurate channel directional profiles are obtained and results are verified in a series of listening tests comparing the localization of a sound source placed within the given simulation to the same source encoded directly. This generic encoding scheme can be applied to any room acoustic simulation technique where it is possible to obtain impulse responses across multiple receiver positions. Although the proposed method encompasses horizontal encoding only, it can also be applied directly in 3-D simulations where height information is not required in the final auralization.
  • Keywords
    Acoustics; Encoding; Finite difference methods; Mathematical model; Microphones; Receivers; Time domain analysis; Acoustic; FDTD; auralization; spatial encoding;
  • fLanguage
    English
  • Journal_Title
    Audio, Speech, and Language Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1558-7916
  • Type

    jour

  • DOI
    10.1109/TASL.2012.2203806
  • Filename
    6214587