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A binaural spatialization method based on a lossy compression of Head-Related Transfer function (HRTF) databases via Eigen decomposition is introduced. The high compression ratio achieved with this method allows for the inclusion of interpolated HRTFs (about a million) while reducing the resulting database 20% from the original size. Compressed HRTFs have a spectral distortion ? 1 dB between 0.1 and 16 kHz. This distortion seems to have no significant effect on subjective accuracy, which is similar to the accuracy achieved with currently used audio spatializers. Compared to one of these methods, the proposed method shows an improvement in terms of processing time and memory requirements.
Author (s): Arevalo Arboleda, Juan Camilo; Villegas, Julián
Affiliation:
(See document for exact affiliation information.)
AES Convention: 153
Paper Number:10628
Publication Date:
2022-10-06
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Session subject:
Spatial Audio
Permalink: https://aes2.org/publications/elibrary-page/?id=21957
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Arevalo Arboleda, Juan Camilo; Villegas, Julián; 2022; Real-time spatialization via Eigen decomposition of head-related transfer functions [PDF]; ; Paper 10628; Available from: https://aes2.org/publications/elibrary-page/?id=21957
Arevalo Arboleda, Juan Camilo; Villegas, Julián; Real-time spatialization via Eigen decomposition of head-related transfer functions [PDF]; ; Paper 10628; 2022 Available: https://aes2.org/publications/elibrary-page/?id=21957