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T. McKenzie, and SE. J.. Schlecht, "Source position interpolation of spatial room impulse responses," Paper 10637, (2023 May.). doi: T. McKenzie, and SE. J.. Schlecht, "Source position interpolation of spatial room impulse responses," Paper 10637, (2023 May.). doi:
Abstract: Measured spatial room impulse responses (SRIRs) are often used for realistic six degrees-of-freedom (6DoF) virtual reality applications, as they allow for the high quality capture and reproduction of a room’s acoustics. Dense sets of SRIR measurements are time consuming to acquire, especially for multiple source and receiver combinations, and so interpolation of sparse measurement sets is required. This paper presents a method for interpolating between higher-order Ambisonic SRIRs with a fixed receiver position but different sound source positions, using a previous methodology. The method is based on linear interpolation with spectral equalisation and RMS compensation, though direct sound, early reflections and late reverberation are processed individually. In a numerical comparison to a basic linear interpolation, the proposed method is shown to more smoothly fade between source positions in root-mean-square amplitude and direction-of-arrival metrics.

@article{mckenzie2023source,
author={mckenzie, thomas and schlecht, sebastian j.},
journal={journal of the audio engineering society},
title={source position interpolation of spatial room impulse responses},
year={2023},
volume={},
number={},
pages={},
doi={},
month={may},} @article{mckenzie2023source,
author={mckenzie, thomas and schlecht, sebastian j.},
journal={journal of the audio engineering society},
title={source position interpolation of spatial room impulse responses},
year={2023},
volume={},
number={},
pages={},
doi={},
month={may},
abstract={measured spatial room impulse responses (srirs) are often used for realistic six degrees-of-freedom (6dof) virtual reality applications, as they allow for the high quality capture and reproduction of a room’s acoustics. dense sets of srir measurements are time consuming to acquire, especially for multiple source and receiver combinations, and so interpolation of sparse measurement sets is required. this paper presents a method for interpolating between higher-order ambisonic srirs with a fixed receiver position but different sound source positions, using a previous methodology. the method is based on linear interpolation with spectral equalisation and rms compensation, though direct sound, early reflections and late reverberation are processed individually. in a numerical comparison to a basic linear interpolation, the proposed method is shown to more smoothly fade between source positions in root-mean-square amplitude and direction-of-arrival metrics.},}

TY - VR/AR
TI - Source position interpolation of spatial room impulse responses
SP - EP -
AU - McKenzie, Thomas
AU - Schlecht, Sebastian J.
PY - 2023
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2023 TY - VR/AR
TI - Source position interpolation of spatial room impulse responses
SP - EP -
AU - McKenzie, Thomas
AU - Schlecht, Sebastian J.
PY - 2023
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2023
AB - Measured spatial room impulse responses (SRIRs) are often used for realistic six degrees-of-freedom (6DoF) virtual reality applications, as they allow for the high quality capture and reproduction of a room’s acoustics. Dense sets of SRIR measurements are time consuming to acquire, especially for multiple source and receiver combinations, and so interpolation of sparse measurement sets is required. This paper presents a method for interpolating between higher-order Ambisonic SRIRs with a fixed receiver position but different sound source positions, using a previous methodology. The method is based on linear interpolation with spectral equalisation and RMS compensation, though direct sound, early reflections and late reverberation are processed individually. In a numerical comparison to a basic linear interpolation, the proposed method is shown to more smoothly fade between source positions in root-mean-square amplitude and direction-of-arrival metrics.