Acoustic Scene Classification in a Hearing Aid


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Greater Copenhagen area

Deep learning for acoustic scene classification (ASC) aims to classify different acoustic environments by use of e.g. neural networks and is an active field of research showing promising results. ASC technology can potentially help a hearing aid user towards a more personalized treatment. This project is about closing some of the gaps between academic research and applying this technology to make a life-changing difference to hearing impaired people. See enclosed description.

Collaboration with Oticon possible.


Audiology, Acoustics, Deep Learning

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Technical University of Denmark

For almost two centuries DTU, Technical University of Denmark, has been dedicated to fulfilling the vision of H.C. Ørsted – the father of electromagnetism – who founded the university in 1829 to develop and create value using the natural sciences and the technical sciences to benefit society.

Today, DTU is ranked as one of the foremost technical universities in Europe, continues to set new records in the number of publications, and persistently increases and develops our partnerships with industry, and assignments accomplished by DTU’s public sector consultancy.

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Anker Engelunds Vej 1
Bygning 101A
2800 Kgs. Lyngby


Tlf. (+45) 45 25 25 25

CVR-nr. 30 06 09 46

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