Personalized HRTF Estimation Based on One-to-Many Neural Network Architecture

Lee GW, Kim HK, Chun CJ, Jeon KM. Personalized HRTF Estimation Based on One-to-Many Neural Network Architecture. In: AES Convention 153. Audio Engineering Society; 2022. Paper 26. Available from: https://aes.org/publications/elibrary-page/?id=21907

@inproceedings{Lee2022_21907,
  author = {Lee, Geon Woo and Kim, Hong Kook and Chun, Chan Jun and Jeon, Kwang Myung},
  title = {{Personalized HRTF Estimation Based on One-to-Many Neural Network Architecture}},
  booktitle = {AES Convention 153},
  note = {Paper 26},
  year = {2022},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=21907}
}

TY  - CPAPER
TI  - Personalized HRTF Estimation Based on One-to-Many Neural Network Architecture
AU  - Lee, Geon Woo
AU  - Kim, Hong Kook
AU  - Chun, Chan Jun
AU  - Jeon, Kwang Myung
T2  - AES Convention 153
M1  - Paper 26
PY  - 2022
DA  - 2022/10/06
UR  - https://aes.org/publications/elibrary-page/?id=21907
PB  - Audio Engineering Society
LA  - en
AB  - In this paper, we propose a one-to-many neural network (NN)-based model to estimate a personalized head-related transfer function (HRTF). The proposed model comprises a feature representation module and an estimation module. The feature representation module provides a deep feature associated with anthropometric measurement data for a given sound direction. The estimation module is mainly constructed using a bi-directional long short-term memory layer with feature vectors from multiple directions, which results in estimated HRTFs simultaneously for all the multiple directions. The performance of the proposed personalized HRTF estimation method is evaluated using the Center for Image Processing and Integrated Computing (CIPIC) database. Experiments show that the proposed personalized HRTF estimation method reduces root mean square error and log spectral distance by 0.89 and 0.45 dB, respectively, compared to the conventional NN-based method.
ER  -