Application of HRIR Factorisation to Game Audio

Gavin Kearney; Marcin Gorzel; Henry Rice; Frank Boland

Application of HRIR Factorisation to Game Audio

Gavin Kearney, Marcin Gorzel, Henry Rice, Frank Boland

Theatre, Film, TV and Interactive Media

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper, we present a strategy for simplifying real-time audio processing for binaural rendering in game audio. The strategy employs factorisation of HRIR datasets into directional dependent and independent subsystems and further decomposition of the datasets into spherical harmonic basis functions. Decomposition is evaluated up to 3rd Order Ambisonics, with factorised minimum-phase HRIR datasets yielding as low as 12 sample runtime filters. An objective evaluation of the method is made using psychoacoustic evaluation criteria and a subjective listening test is implemented to verify the methodology.

Original language	English
Title of host publication	Audio Engineering Society 41st International Conference
Subtitle of host publication	Audio for Games
Place of Publication	London
Publication status	Published - 2 Feb 2011

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title = "Application of HRIR Factorisation to Game Audio",

abstract = "In this paper, we present a strategy for simplifying real-time audio processing for binaural rendering in game audio. The strategy employs factorisation of HRIR datasets into directional dependent and independent subsystems and further decomposition of the datasets into spherical harmonic basis functions. Decomposition is evaluated up to 3rd Order Ambisonics, with factorised minimum-phase HRIR datasets yielding as low as 12 sample runtime filters. An objective evaluation of the method is made using psychoacoustic evaluation criteria and a subjective listening test is implemented to verify the methodology.",

author = "Gavin Kearney and Marcin Gorzel and Henry Rice and Frank Boland",

year = "2011",

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TY - GEN

T1 - Application of HRIR Factorisation to Game Audio

AU - Kearney, Gavin

AU - Gorzel, Marcin

AU - Rice, Henry

AU - Boland, Frank

PY - 2011/2/2

Y1 - 2011/2/2

N2 - In this paper, we present a strategy for simplifying real-time audio processing for binaural rendering in game audio. The strategy employs factorisation of HRIR datasets into directional dependent and independent subsystems and further decomposition of the datasets into spherical harmonic basis functions. Decomposition is evaluated up to 3rd Order Ambisonics, with factorised minimum-phase HRIR datasets yielding as low as 12 sample runtime filters. An objective evaluation of the method is made using psychoacoustic evaluation criteria and a subjective listening test is implemented to verify the methodology.

AB - In this paper, we present a strategy for simplifying real-time audio processing for binaural rendering in game audio. The strategy employs factorisation of HRIR datasets into directional dependent and independent subsystems and further decomposition of the datasets into spherical harmonic basis functions. Decomposition is evaluated up to 3rd Order Ambisonics, with factorised minimum-phase HRIR datasets yielding as low as 12 sample runtime filters. An objective evaluation of the method is made using psychoacoustic evaluation criteria and a subjective listening test is implemented to verify the methodology.

UR - http://www.scopus.com/inward/record.url?scp=81155130673&partnerID=8YFLogxK

M3 - Conference contribution

BT - Audio Engineering Society 41st International Conference

CY - London

ER -

Application of HRIR Factorisation to Game Audio

Abstract

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