HRTF compression via principal components analysis and vector quantization

抄録

The computation burden and the huge memory size of the head-related transfer function (HRTF) database challenge the practical application of 3D sound system. This paper therefore proposes a novel method which employs principal components analysis and vector quantization jointly to reduce the size of HRTF set in 3D sound system. Numerical experiment results demonstrate that the proposed method can save the storage space greatly with little localization performance degradation.