Compression and amplification algorithms in hearing aids impair the selectivity of neural responses to speech
In quiet environments, hearing aids improve the perception of low-intensity sounds. However, for high-intensity sounds in background noise, the aids often fail to provide a benefit to the wearer. Here, using large-scale single-neuron recordings from hearing-impaired gerbils—an established animal mod...
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Veröffentlicht in: | Nature biomedical engineering 2022-06, Vol.6 (6), p.717-730 |
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Zusammenfassung: | In quiet environments, hearing aids improve the perception of low-intensity sounds. However, for high-intensity sounds in background noise, the aids often fail to provide a benefit to the wearer. Here, using large-scale single-neuron recordings from hearing-impaired gerbils—an established animal model of human hearing—we show that hearing aids restore the sensitivity of neural responses to speech, but not their selectivity. Rather than reflecting a deficit in supra-threshold auditory processing, the low selectivity is a consequence of hearing-aid compression (which decreases the spectral and temporal contrasts of incoming sound) and amplification (which distorts neural responses, regardless of whether hearing is impaired). Processing strategies that avoid the trade-off between neural sensitivity and selectivity should improve the performance of hearing aids.
Large-scale single-neuron recordings from hearing-impaired gerbils show that compression and amplification algorithms used in hearing aids restore the sensitivity of neural responses to speech, but not their selectivity. |
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ISSN: | 2157-846X 2157-846X |
DOI: | 10.1038/s41551-021-00707-y |