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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.
|Number of pages||13|
|Publication status||Published - 6 Jan 2022|
|MoE publication type||A1 Journal article-refereed|
- Auditory model
- Head worn device
- Horizontal localisation
- Neural network
- Subjective evaluation
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- 1 Finished
HUMOR: HUMan Optimized xR
Pulkki, V., McCormack, L., Llado Gonzalez, P. & McKenzie, T.
01/01/2020 → 30/06/2022
Project: Business Finland: Other research funding
Aalto Acoustics Lab
Ville Pulkki (Manager)School of Electrical Engineering