• DocumentCode
    66957
  • Title

    Spectral and Spatial Multichannel Analysis/Synthesis of Interior Aircraft Sounds

  • Author

    Verron, C. ; Gauthier, P.-A. ; Langlois, J. ; Guastavino, C.

  • Author_Institution
    Multimodal Interaction Lab., McGill Univ., Montreal, QC, Canada
  • Volume
    21
  • Issue
    7
  • fYear
    2013
  • fDate
    Jul-13
  • Firstpage
    1317
  • Lastpage
    1329
  • Abstract
    A method for spectral and spatial multichannel analysis/synthesis of interior aircraft sounds is presented. We propose two extensions of the classical sinusoids+noise model, adapted to multichannel stationary sounds. First, a spectral estimator is described, using average information across channels for spectral peak detection. Second, the residual modeling is extended to integrate two interchannel spatial cues (i.e., coherence and phase difference). This approach allows real-time synthesis and control of sounds spectral and spatial characteristics. It finds applications for multichannel aircraft sound reproduction, and more generally for musical and environmental sound synthesis. The ability of the model to reproduce multichannel aircraft sounds is assessed by a numerical simulation.
  • Keywords
    acoustic signal detection; aircraft; signal synthesis; spectral analysis; classical sinusoid-noise model; environmental sound synthesis; interchannel spatial cues; interior aircraft sounds; multichannel aircraft sound reproduction; multichannel stationary sounds; musical sound; real-time synthesis; residual modeling; sound spectral control; spatial characteristics; spatial multichannel analysis; spatial multichannel synthesis; spectral estimator; spectral multichannel analysis; spectral peak detection; Aircraft; Aircraft propulsion; Atmospheric modeling; Biological system modeling; Channel estimation; Coherence; Noise; Aircraft sounds; analysis/synthesis; diffuse noise; interchannel coherence; interchannel phase difference; sinusoidal modeling; spatial sound; spectral envelope;
  • fLanguage
    English
  • Journal_Title
    Audio, Speech, and Language Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1558-7916
  • Type

    jour

  • DOI
    10.1109/TASL.2013.2248712
  • Filename
    6469176