Issue |
Acta Acust.
Volume 6, 2022
Topical Issue - Auditory models: from binaural processing to multimodal cognition
|
|
---|---|---|
Article Number | 1 | |
Number of page(s) | 13 | |
DOI | https://doi.org/10.1051/aacus/2021056 | |
Published online | 06 January 2022 |
Scientific Article
Auditory model-based estimation of the effect of head-worn devices on frontal horizontal localisation
Department of Signal Processing and Acoustics, Aalto University School of Electrical Engineering, Otakaari 5A, 02150 Espoo, Finland
* Corresponding author: pedro.llado@aalto.fi
Received:
29
December
2020
Accepted:
9
December
2021
Auditory localisation accuracy may be degraded when a head-worn device (HWD), such as a helmet or hearing protector, is used. A computational method is proposed in this study for estimating how horizontal plane localisation is impaired by a HWD through distortions of interaural cues. Head-related impulse responses (HRIRs) of different HWDs were measured with a KEMAR and a binaural auditory model was used to compute interaural cues from HRIR-convolved noise bursts. A shallow neural network (NN) was trained with data from a subjective listening experiment, where horizontal plane localisation was assessed while wearing different HWDs. Interaural cues were used as features to estimate perceived direction and position uncertainty (standard deviation) of a sound source in the horizontal plane with the NN. The NN predicted the position uncertainty of localisation among subjects for a given HWD with an average estimation error of 1°. The obtained results suggest that it is possible to predict the degradation of localisation ability for specific HWDs in the frontal horizontal plane using the method.
Key words: Auditory model / Horizontal localisation / Subjective evaluation / Head worn device / Neural network
© P. Lladó et al., Published by EDP Sciences, 2022
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