How does machine learning in the Widex EVOKE hearing aid work?
Answer
They are presented with two ‘sound profiles’ behind an A and B button, they listen to each one and then rate them against each other. Based on this rating, the algorithm can learn from their preference and choose two more ‘sound profiles’ that are again rated by the wearer. Up to 20 comparisons can be made, and then the algorithm can present the wearer with an ideal setting for that time and place. To illustrate this, comparing each setting against each other actually involves hundreds of thousands of comparisons behind the scenes, plus the hearing aid wearer has to systematically rank these combinations. The technology behind machine learning is extremely complicated, but it simplifies multiple parameter controls and empowers hearing aid wearers to make personal and effective changes in their everyday moments of life.
Audiology Communication Manager, Widex AS, Lynge, Denmark
Oliver is responsible for audiological marketing and communication and brings to this role a broad and global audiology perspective in both public and private sectors over almost 10 years. His previous roles include Rehabilitation and Vestibular diagnostic audiologist at Charing Cross Hospital, London, UK and multiple sales & training roles for hearing aid manufacturers in European and Asian/Pacific markets.
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