Comparative Analysis on Compact Representation for Spatial Variation of Individual Head-Related Transfer Functions Based on Singular Value Decomposition

Takane S. Comparative Analysis on Compact Representation for Spatial Variation of Individual Head-Related Transfer Functions Based on Singular Value Decomposition. In: AES Convention 134. Audio Engineering Society; 2013. Paper 8900. Available from: https://aes.org/publications/elibrary-page/?id=16800

@inproceedings{Takane2013_16800,
  author = {Takane, Shouichi},
  title = {{Comparative Analysis on Compact Representation for Spatial Variation of Individual Head-Related Transfer Functions Based on Singular Value Decomposition}},
  booktitle = {AES Convention 134},
  note = {Paper 8900},
  year = {2013},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=16800}
}

TY  - CPAPER
TI  - Comparative Analysis on Compact Representation for Spatial Variation of Individual Head-Related Transfer Functions Based on Singular Value Decomposition
AU  - Takane, Shouichi
T2  - AES Convention 134
M1  - Paper 8900
PY  - 2013
DA  - 2013/05/06
UR  - https://aes.org/publications/elibrary-page/?id=16800
PB  - Audio Engineering Society
LA  - en
AB  - In this paper the compact representation of the head-related transfer functions (HRTFs) or the Head-Related Impulse Responses (HRIRs) based on singular value decomposition (SVD) was investigated, focusing on the difference in the parameters to construct the average vectors and the covariance matrices in two points. One of them is on what the derived eigenvectors reflect the properties of HRTFs and/or HRIRs. As a result, high correlation between the parameters concerning SVD and the amplitude of HRTFs was found, and the high correlation was obtained in the wide region except the contralateral side. The second investigation is on the required number of the HRTFs or the HRIRs to construct the average vectors and the covariance matrices. It was found that the number of HRTFs are decreased to about 1/4 of the whole directions for the used HRTFs. Among three conditions of the HRIRs, the amplitude of HRTFs, and the log-amplitude of HRTFs, it was also shown that the amplitude of HRTFs is the most effective to construct the parameters of the SVD.
ER  -