Reconstruction of room impulse responses over extended domains for navigable sound field reproduction

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    139 Downloads (Pure)


    The acquisition of the spatio-temporal characteristics of a sound field over a large volume of space is experimentally challenging, as a large number of transducers is required to sample the sound field. Sound field reconstruction methods are a resourceful approach, as they enable the interpolation and extrapolation of the sound field from a limited number of observed data. In this study we examine the spatio-temporal and spatio-spectral reconstruction of the sound field in a room from distributed measurements of the sound pressure. Specifically, a variational Gaussian process regression model is formulated, using time-domain anisotropic kernels to reconstruct the direct sound and early reflections, and frequency-domain isotropic kernels for reconstructing the late reverberant field. The proposed methodology is compared experimentally to classical regression models based on plane wave decompositions, which are widely used in sound field reconstruction in enclosures due to their simplicity and accuracy.
    Original languageEnglish
    Title of host publicationProceedings of International Conference on Immersive and 3D Audio
    Number of pages8
    Publication date2021
    ISBN (Print)9781665409988
    Publication statusPublished - 2021
    EventInternational Conference on Immersive and 3D Audio
    - Virtual event, Bologna, Italy
    Duration: 8 Sept 202110 Sept 2021


    ConferenceInternational Conference on Immersive and 3D Audio
    LocationVirtual event
    Internet address


    • Sound field reconstruction
    • Gaussian processes
    • Spatial audio
    • 6dof
    • Room impulse response
    • Acoustic holography
    • Microphone arrays


    Dive into the research topics of 'Reconstruction of room impulse responses over extended domains for navigable sound field reproduction'. Together they form a unique fingerprint.

    Cite this