Customization of Head-Related Impulse Response Via Two-Dimension Common Factor Decomposition and Sampled Measurements

Wang Z, Chan CF. Customization of Head-Related Impulse Response Via Two-Dimension Common Factor Decomposition and Sampled Measurements. In: AES Convention 136. Audio Engineering Society; 2014.pp. 9080:1-. Available from: https://aes.org/publications/elibrary-page/?id=17227

@inproceedings{Wang2014_17227,
  author = {Wang, Zhixin and Chan, Cheung Fat},
  title = {{Customization of Head-Related Impulse Response Via Two-Dimension Common Factor Decomposition and Sampled Measurements}},
  booktitle = {AES Convention 136},
  pages = {9080:1-},
  year = {2014},
  month = apr,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=17227}
}

TY  - CPAPER
TI  - Customization of Head-Related Impulse Response Via Two-Dimension Common Factor Decomposition and Sampled Measurements
AU  - Wang, Zhixin
AU  - Chan, Cheung Fat
T2  - AES Convention 136
SP  - 1
M1  - Paper 9080
PY  - 2014
DA  - 2014/04/06
UR  - https://aes.org/publications/elibrary-page/?id=17227
PB  - Audio Engineering Society
LA  - en
AB  - A method based on subject-dependent impulse response extraction is proposed for the customization of head-related impulse response. In the training step, a two-dimension common factor decomposition algorithm is applied to train a set of direction-dependent impulse responses that are common for all subjects. A subject-dependent impulse response is extracted simultaneously for each subject to capture the subject-dependent information. In the customization step, the subject-dependent impulse response of a target subject is extracted from several head-related impulse response measurements of the subject. The extracted subject-dependent impulse response is then convolved with the trained direction-dependent impulses to construct all head-related impulse responses for the target subject. It is shown that with head-related impulse responses measured at a few directions for a target subject, head-related impulse responses at all trained directions can be customized with fairly low distortion.
ER  -