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Niels Pontoppidan

Principal Scientist

“I hope that future science will lead us to understand how personalized audiology depends on the situations, the intent, and the individual capabilities, so that we can create hearing aids that truly adapt to the individual.”

What is your primary work area within Eriksholm Research Centre?

I primarily work with data from fitting software, hearing aids, and hearing aid users. From that data we try to understand how to build personalized audiology for the future.

What originally triggered you interest in the hearing care field?

My first quest was to solve the segregation problem, the problem that users of hearing aids face with competing voices, for instance at family dinners and cocktail parties. Here I was interested in seeing how machines can learn to recognize voices so that they could be separated as if conversation partners had their own microphone.

What brought you to Eriksholm?

I found Eriksholm to be the perfect place to provide the opportunity for me to pursue the above

What motivates you in your job?

I’m motivated by everything we learn through our research, and by transforming these learnings into tangible improvements for people living their life with a hearing loss. And in between the quantum leaps, I am happy to settle for many small improvements.

What do you do in your spare time when you’re not working at Eriksholm?

Besides spending time with my family, I play floorball, which is a really fast paced sport, and then I play music.

What is the most exciting scientific breakthrough or invention in your time?

Deep neural networks and its two impacts on hearing care. First, when we showed that deep neural networks can learn specific voices so well that the separated outputs improve segregation for people with hearing loss. Then, secondly, the related breakthrough in Oct 2020, with the launch of Oticon More, where a key component of hearing aid signal processing in hearing aids was significantly upgraded with deep neural networks. It has been awesome to pursue the long-term potential with deep neural networks and to witness the immediate impact on products with smaller networks.

What do you hope will happen in future science?

I hope that future science will lead us to understand how personalized audiology depends on the situations, the intent, and the individual capabilities, so that we can create hearing aids that truly adapt to the individual.

Publications

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Projects

PPLA Project
CURRENT
Hearing aid preferences for noise reduction and high frequency gain
4409

Personalized audiology

A key challenge for audiologists and hearing aid users during fine-tuning is to find the right balan...
A key challenge for audiologists and hearing aid users during fine-tuning is to find the…
EVOTION
FINALIZED
EVOTION
4409

Personalized audiology

EVOTION was a Horizon 2020 project funded by European Commission with 13 partners running from 2016 ...
EVOTION was a Horizon 2020 project funded by European Commission with 13 partners running from…
AUPE - Consultation
CURRENT
Audiological User Pain Points
4923,4860,4409

Personalized audiology

When asking hearing aid users about their challenges, the category hearing in noise most often top t...
When asking hearing aid users about their challenges, the category hearing in noise most often…
noise reduction, timbre, and compressive settings
CURRENT
Understanding the impact of noise reduction, timbre, and compressive settings in hearing aids in the laboratory and simulated VR environments
4409,4552

Personalized audiology

While hearing aid users often have their devices fine-tuned in the clinic with prescribed settings, ...
While hearing aid users often have their devices fine-tuned in the clinic with prescribed settings,…

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  • DK-3070 Snekkersten
  • Denmark
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