On the Improvement of Auditory Accuracy with Non-Indivisualized HRTF-Based Sounds

Mendonça CSJCG, Dias P, Vieira J, Ferreira J. On the Improvement of Auditory Accuracy with Non-Indivisualized HRTF-Based Sounds. In: AES Convention 129. Audio Engineering Society; 2010. Paper 8266. Available from: https://aes.org/publications/elibrary-page/?id=15688

@inproceedings{Mendonca2010_15688,
  author = {Mendonça, Catarina, Santos, Jorge, Campos, Guilherme and Dias, Paulo and Vieira, José and Ferreira, João},
  title = {{On the Improvement of Auditory Accuracy with Non-Indivisualized HRTF-Based Sounds}},
  booktitle = {AES Convention 129},
  note = {Paper 8266},
  year = {2010},
  month = nov,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=15688}
}

TY  - CPAPER
TI  - On the Improvement of Auditory Accuracy with Non-Indivisualized HRTF-Based Sounds
AU  - Mendonça, Catarina, Santos, Jorge, Campos, Guilherme
AU  - Dias, Paulo
AU  - Vieira, José
AU  - Ferreira, João
T2  - AES Convention 129
M1  - Paper 8266
PY  - 2010
DA  - 2010/11/06
UR  - https://aes.org/publications/elibrary-page/?id=15688
PB  - Audio Engineering Society
LA  - en
AB  - Auralization is a powerful tool to increase the realism and sense of immersion in Virtual Reality environments. The Head Related Transfer Function (HRTF) filters commonly used for auralization are non-individualized, as obtaining individualized HRTFs poses very serious practical difficulties. It is therefore extremely important to understand to what extent this hinders sound perception. In this paper, we address this issue from a learning perspective. In a set of experiments, we observed that mere exposure to virtual sounds processed with generic HRTF did not improve the subjects’ performance in sound source localization, but short training periods involving active learning and feedback led to significantly better results. We propose that using auralization with non-individualized HRTF should always be preceded by a learning period.
ER  -