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Frequency-lowering processing to improve speech-in-noise intelligibility in patients with age-related hearing loss.

Rocco BrunoFrancesco FreniDaniele PortelliGiuseppe AlbertiFrancesco GaziaAlessandro MeduriFrancesco GallettiBruno Galletti
Published in: 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 (2020)
Linear frequency transposition is not useful to improve speech-in-noise intelligibility in patients with age-related hearing loss. Despite that no statistically significant differences were found, younger people could get advantages from the LFT when babble noise disturbs the listening of speech. The use of FL algorithm as a way to improve speech intelligibility in noisy environments should be always considered.
Keyphrases
  • hearing loss
  • air pollution
  • machine learning
  • deep learning