Talking to Patients about Deep Neural Networks in Hearing Aids (Q2 2021) (TX-143-24-009)-Talking to Patients about Deep Neural Networks in Hearing Aids (Q2 2021)

Talking to Patients about Deep Neural Networks in Hearing Aids (Q2 2021) - Article

Pdf Summary

Deep neural networks (DNNs) are being used in commercially available hearing aids to improve speech understanding in noise and selective attention. DNNs are sophisticated digital processing systems that learn from vast amounts of data. In hearing aids, DNNs can optimize the sound scene by prioritizing important sounds and attenuating background noise. Oticon MoreTM is a premium hearing aid that incorporates DNN technology and has been trained on 12 million real-life sounds to better manage speech and noise in challenging listening environments. Studies have shown that Oticon MoreTM improves speech in noise ability, recall/memory, and selective attention. Discussion with patients about DNN technology should be done in a patient-centered and easily understandable manner. Assessment tools such as the COSI, HHIE, IOI, and SSQ can help identify the specific areas in which patients have difficulty hearing and listening. Motivational interviewing can also be used to engage patients and guide them toward a solution. It is important to focus on the patient's specific challenges and associate the recommended solution with those challenges. Overall, DNN technology offers significant advancements in sound processing in hearing aids and can greatly improve the listening experience for individuals with hearing loss.

Keywords

Deep neural networks

DNNs

hearing aids

speech understanding

noise

selective attention

Oticon MoreTM

real-life sounds

challenging listening environments

improved listening experience