TY - GEN
T1 - User selection of optimal HRTF sets via holistic comparative evaluation
AU - Shukla, Rishi
AU - Stewart, Rebecca
AU - Roginska, Agnieszka
AU - Sandler, Mark
N1 - Funding Information:
This work was supported by EPSRC and AHRC under the grant EP/L01632X/1 (Centre for Doctoral Training in Media and Arts Technology) and by ESPRC Platform Grant EP/E045235/1.
Publisher Copyright:
© Audio Engineering Society. All rights reserved.
PY - 2018
Y1 - 2018
N2 - 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 individualised HRTF sets. We present and assess a system for HRTF selection that relies on holistic judgements 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, randomised selection between equally judged HRTFs did not significantly 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.
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 individualised HRTF sets. We present and assess a system for HRTF selection that relies on holistic judgements 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, randomised selection between equally judged HRTFs did not significantly 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.
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M3 - Conference contribution
AN - SCOPUS:85056822927
T3 - Proceedings of the AES International Conference
SP - 155
EP - 164
BT - AES International Conference on Audio for Virtual and Augmented Reality 2018
PB - Audio Engineering Society
T2 - AES International Conference on Audio for Virtual and Augmented Reality: Science, Technology, Design, and Implementation, AVAR 2018
Y2 - 20 August 2018 through 22 August 2018
ER -