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Real-time spatialization via Eigen decomposition of head-related transfer functions

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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.

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