Localization Algorithms for Hearing Devices Influenced by Individual Variability in Ear Acoustics

Head-related transfer functions (HRTFs) contain time and level cues and may be utilized in automatic algorithms to identify locations of sound, a desirable feature for next-generation hearing devices. Due to substantial variability in individual head sizes and ear acoustics, individualized HRTFs are expected to provide the best localization results....

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No actionable change at present; findings are engineering-focused and inform future algorithm design for hearing devices rather than current clinical fitting practice.

As next-generation hearing aids and implants incorporate spatial audio features, understanding how individual ear-acoustic profiles (HRTFs) affect localization algorithms is critical to improving real-world sound localisation performance for hearing device users.

1. 01Individual head-related transfer functions (HRTFs) vary significantly between people and affect localization accuracy.
2. 02Current localization algorithms for hearing devices may not adequately account for inter-individual ear-acoustic variability.
3. 03Published in Biomimetics, signaling a bio-inspired engineering approach to the problem.
4. 04Findings could guide personalised or adaptive algorithm design in future hearing device development.
5. 05Relevant to both hearing aid and cochlear implant spatial processing research.

PMID

42505500

DOI

10.3390/biomimetics11070467.

Journal

Biomimetics

Publication type

research_article

Evidence level

2b

Population

Hearing device users or simulated models incorporating individual HRTF profiles

Intervention

Localization algorithms adjusted for individual ear-acoustic variability (HRTFs)

Comparator

Standard localization algorithms without individual HRTF personalisation