Contribution of noise reduction pre-processing and microphone directionality strategies in the speech recognition in noise in adult cochlear implant users.

Autor: Goffi-Gomez MVS; Hospital das Clínicas da Faculdade de Medicina da USP, São Paulo, Brazil. valeria.goffi@hc.fm.usp.br., Muniz L; Hospital Agamenon Magalhães, Recife, Brazil., Wiemes G; Instituto Paranaense de Otorrinolaringologia, Hospital IPO, Curitiba, Brazil., Onuki LC; Hospital das Clínicas da UNICAMP, Campinas, Brazil., Calonga L; Hospital das Clínicas da UNICAMP, Campinas, Brazil., Osterne FJ; Hospital Universitário Clementino Fraga Filho, UFRJ, Janeiro, Brazil., Kós MI; Hospital Universitário Clementino Fraga Filho, UFRJ, Janeiro, Brazil., Caldas FF; Instituto Brasiliense de Otorrinolaringologia, Brasília, Brazil., Cardoso C; Instituto Brasiliense de Otorrinolaringologia, Brasília, Brazil., Cagnacci B; Cochlear Latin America, International Business Park, Panama.
Jazyk: angličtina
Zdroj: European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery [Eur Arch Otorhinolaryngol] 2021 Aug; Vol. 278 (8), pp. 2823-2828. Date of Electronic Publication: 2020 Sep 18.
DOI: 10.1007/s00405-020-06372-2
Abstrakt: Purpose: Refinement currently offered in new sound processors may improve noise listening capability reducing constant background noise and enhancing listening in challenging signal-to-noise conditions. This study aimed to identify whether the new version of speech processor preprocessing strategy contributes to speech recognition in background noise compared to the previous generation processor.
Methods: This was a multicentric prospective cross-sectional study. Post-lingually deaf adult patients, with at least 1 year of device use and speech recognition scores above 60% on HINT sentences in quiet were invited. Speech recognition performance in quiet and in noise with sound processors with previous and recent technologies was assessed under four conditions with speech coming from the front: (a) quiet (b) fixed noise coming from the front, (c) fixed noise coming from the back, and (d) adaptive noise ratios with noise coming from the front.
Results: Forty-seven cochlear implant users were included. No significant difference was found in quiet condition. Performance with the new processor was statistically better than the previous sound processor in all three noisy conditions (p < 0.05). With fixed noise coming from the back condition, speech recognition was 62.9% with the previous technology and 73.5% on the new one (p < 0.05). The mean speech recognition in noise was also statistically higher, with 5.8 dB and 7.1 dB for the newer and older technologies (p < 0.05), respectively.
Conclusion: New technology has shown to provide benefits regarding speech recognition in noise. In addition, the new background noise reduction technology, has shown to be effective and improves speech recognition in situations of more intense noise coming from behind.
Databáze: MEDLINE
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