Personalized signal-independent beamforming for binaural hearing aids

Alastair H. Moore, Jan Mark de Haan, Michael Syskind Pedersen, Patrick A. Naylor, Mike Brookes, Jesper Jensen

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

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Resumé

The effect of personalized microphone array calibration on the performance of hearing aid beamformers under noisy reverberant conditions is studied. The study makes use of a new, publicly available, database containing acoustic transfer function measurements from 29 loudspeakers arranged on a sphere to a pair of behind-the-ear hearing aids in a listening room when worn by 27 males, 14 females, and 4 mannequins. Bilateral and binaural beamformers are designed using each participant's hearing aid head-related impulse responses (HAHRIRs). The performance of these personalized beamformers is compared to that of mismatched beamformers, where the HAHRIR used for the design does not belong to the individual for whom performance is measured. The case where the mismatched HAHRIR is that of a mannequin is of particular interest since it represents current practice in commercially available hearing aids. The benefit of personalized beamforming is assessed using an intrusive binaural speech intelligibility metric and in a matrix speech intelligibility test. For binaural beamforming, both measures demonstrate a statistically signficant (p < 0.05) benefit of personalization. The benefit varies substantially between individuals with some predicted to benefit by as much as 1.5 dB.

OriginalsprogDansk
TidsskriftThe Journal of the Acoustical Society of America
Vol/bind145
Udgave nummer5
Sider (fra-til)2971-2981
Antal sider11
ISSN0001-4966
DOI
StatusUdgivet - maj 2019

Citer dette

H. Moore, A., Mark de Haan, J., Syskind Pedersen, M., A. Naylor, P., Brookes, M., & Jensen, J. (2019). Personalized signal-independent beamforming for binaural hearing aids. The Journal of the Acoustical Society of America, 145(5), 2971-2981. https://doi.org/10.1121/1.5102173
H. Moore, Alastair ; Mark de Haan, Jan ; Syskind Pedersen, Michael ; A. Naylor, Patrick ; Brookes, Mike ; Jensen, Jesper. / Personalized signal-independent beamforming for binaural hearing aids. I: The Journal of the Acoustical Society of America. 2019 ; Bind 145, Nr. 5. s. 2971-2981.
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H. Moore, A, Mark de Haan, J, Syskind Pedersen, M, A. Naylor, P, Brookes, M & Jensen, J 2019, 'Personalized signal-independent beamforming for binaural hearing aids', The Journal of the Acoustical Society of America, bind 145, nr. 5, s. 2971-2981. https://doi.org/10.1121/1.5102173

Personalized signal-independent beamforming for binaural hearing aids. / H. Moore, Alastair; Mark de Haan, Jan; Syskind Pedersen, Michael; A. Naylor, Patrick; Brookes, Mike; Jensen, Jesper.

I: The Journal of the Acoustical Society of America, Bind 145, Nr. 5, 05.2019, s. 2971-2981.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

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AU - Jensen, Jesper

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AB - The effect of personalized microphone array calibration on the performance of hearing aid beamformers under noisy reverberant conditions is studied. The study makes use of a new, publicly available, database containing acoustic transfer function measurements from 29 loudspeakers arranged on a sphere to a pair of behind-the-ear hearing aids in a listening room when worn by 27 males, 14 females, and 4 mannequins. Bilateral and binaural beamformers are designed using each participant's hearing aid head-related impulse responses (HAHRIRs). The performance of these personalized beamformers is compared to that of mismatched beamformers, where the HAHRIR used for the design does not belong to the individual for whom performance is measured. The case where the mismatched HAHRIR is that of a mannequin is of particular interest since it represents current practice in commercially available hearing aids. The benefit of personalized beamforming is assessed using an intrusive binaural speech intelligibility metric and in a matrix speech intelligibility test. For binaural beamforming, both measures demonstrate a statistically signficant (p < 0.05) benefit of personalization. The benefit varies substantially between individuals with some predicted to benefit by as much as 1.5 dB.

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