User Selection of Optimal HRTF Sets via Holistic Comparative Evaluation

Shukla R, Stewart R, Roginska A, Sandler M. User Selection of Optimal HRTF Sets via Holistic Comparative Evaluation. In: AES Conference: 2018 AES International Conference on Audio for Virtual and Augmented Reality. Audio Engineering Society; 2018. Paper P4-2. Available from: https://aes.org/publications/elibrary-page/?id=19677

@inproceedings{Shukla2018_19677,
  author = {Shukla, Rishi and Stewart, Rebecca and Roginska, Agnieszka and Sandler, Mark},
  title = {{User Selection of Optimal HRTF Sets via Holistic Comparative Evaluation}},
  booktitle = {AES Conference: 2018 AES International Conference on Audio for Virtual and Augmented Reality},
  note = {Paper P4-2},
  year = {2018},
  month = aug,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=19677}
}

TY  - CPAPER
TI  - User Selection of Optimal HRTF Sets via Holistic Comparative Evaluation
AU  - Shukla, Rishi
AU  - Stewart, Rebecca
AU  - Roginska, Agnieszka
AU  - Sandler, Mark
T2  - AES Conference: 2018 AES International Conference on Audio for Virtual and Augmented Reality
M1  - Paper P4-2
PY  - 2018
DA  - 2018/08/06
UR  - https://aes.org/publications/elibrary-page/?id=19677
PB  - Audio Engineering Society
LA  - en
AB  - If well-matched to a given listener, head-related transfer functions (HRTFs) that have not been individually measured can still present relatively effective auditory scenes compared to renderings from individualized HRTF sets. We present and assess a system for HRTF selection that relies on holistic judgments of users to identify their optimal match through a series of pairwise adversarial comparisons. The mechanism resulted in clear preference for a single HRTF set in a majority of cases. Where this did not occur, randomized selection between equally judged HRTFs did not signi?cantly impact user performance in a subsequent listening task. This approach is shown to be equally effective for both novice and expert listeners in selecting their preferred HRTF set.
ER  -