Retrieval of individualized head-related transfer functions for hearing aid applications

Bürger M, Meier S, Hofmann C, Fischer E, Puder H, Kellermann W (2017)


Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2017

Pages Range: 6-10

Event location: Kos GR

ISBN: 978-0-9928626-7-1

DOI: 10.23919/EUSIPCO.2017.8081158

Abstract

The capability of modern hearing aids to provide hearing-impaired humans with enhanced signals, which ultimately leads to an increased speech intelligibility, may benefit from fitting the device for each subject individually. This ideally also involves the exploitation of Head-Related Impulse Responses (HRIRs). However, HRIRs vary from person to person and thus require tedious measurements for each individual. In this work, we investigate two approaches which aim at speeding up the HRIR acquisition procedure. These are continuous measurements and interpolation, where Dynamic Time Warping (DTW) as well as linear interpolation of the magnitude and phase responses are considered. In contrast to related publications, the continuous HRIR measurements are not performed in anechoic environments here. The quality of the obtained HRIRs is assessed by means of the system mismatch and the proposed error of relative transfer functions. Both measures reveal that continuous HRIR measurements are on average much more capable than the investigated interpolation approaches, and they furthermore provide a more uniform performance for different source directions.

Authors with CRIS profile

Involved external institutions

How to cite

APA:

Bürger, M., Meier, S., Hofmann, C., Fischer, E., Puder, H., & Kellermann, W. (2017). Retrieval of individualized head-related transfer functions for hearing aid applications. In Proceedings of the 25th European Signal Processing Conference (EUSIPCO) (pp. 6-10). Kos, GR.

MLA:

Bürger, Michael, et al. "Retrieval of individualized head-related transfer functions for hearing aid applications." Proceedings of the 25th European Signal Processing Conference (EUSIPCO), Kos 2017. 6-10.

BibTeX: Download