Robust single- and multi-loudspeaker least-squares-based equalization for hearing devices
Henning Schepker, Florian Denk, Birger Kollmeier, Simon Doclo

TL;DR
This paper presents a unified least-squares-based method for designing single- and multi-loudspeaker equalization filters in hearing devices, improving acoustic transparency and reducing comb-filtering artifacts through acausality management and frequency-dependent regularization.
Contribution
It introduces a novel unified approach for equalization filter design that accounts for non-minimum phase components and reduces artifacts, applicable to both single- and multi-loudspeaker hearing devices.
Findings
Achieves robust acoustic transparency in hearing devices.
Reduces comb-filtering artifacts with frequency-dependent regularization.
Performs well across different open ear transfer functions.
Abstract
To improve the sound quality of hearing devices, equalization filters can be used that aim at achieving acoustic transparency, i.e., listening with the device in the ear is perceptually similar to the open ear. The equalization filter needs to ensure that the superposition of the equalized signal played by the device and the signal leaking through the device into the ear canal matches a processed version of the signal reaching the eardrum of the open ear. Depending on the processing delay of the hearing device, comb-filtering artifacts can occur due to this superposition, which may degrade the perceived sound quality. In this paper we propose a unified least-squares-based procedure to design single- and multi-loudspeaker equalization filters for hearing devices aiming at achieving acoustic transparency. To account for non-minimum phase components, we introduce a so-called acausality…
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Taxonomy
TopicsSpeech and Audio Processing · Advanced Adaptive Filtering Techniques · Acoustic Wave Phenomena Research
