Centre for Applied Hearing Research

 

The Centre for Applied Hearing Research (CAHR) is situated within the Hearing Systems group in DTU Elekto. Created in 2003 through a formal consortium agreement between the three Danish hearing-aid companies and DTU, CAHR’s mission is to investigate the signal processing principles and coding strategies in the human auditory system with an emphasis on the perceptual consequences of hearing impairment and aided hearing impairment in complex acoustic environments. Previous work at CAHR has included the development of new Danish speech perception tests as well as the design and development of new sound recording and reproduction techniques.

In particular, CAHR aims to connect the fundamental research conducted at the Centre for Hearing and Speech Science (CHeSS) with the clinical research conducted at the hospitals and the needs of industry. Thus, CAHR seeks to apply findings from research conducted at DTU and elsewhere in a way that is relevant to society.

The Danish hearing-aid companies, Oticon, GN Hearing, and Widex, continue to support the centre and have signed a new consortium agreement for the period of 2017-2020. The three main research goals are as follows:

  • Apply advanced computational models of auditory perception and speech processing in the normal and impaired auditory system for optimized model based fitting of hearing aids.
  • Incorporate acoustic scene analysis in hearing aids (e.g., applying new techniques to hearing aids such as incorporating head movements, etc.)
  • Develop tests using virtual sound environments that are relevant to the everyday experiences of hearing impaired listeners to better evaluate hearing aid features in realistic conditions.

Central team at Centre for Applied Hearing Research and Oticon Centre of Excellence for Hearing and Speech Science:
(Leftmost) Associate Professor Jeremy Marozeau: Music perception in hearing impaired listeners, model of loudness and timbre of musical instruments,
Associate Professor Bastian Epp: Neural modelling of hearing,
Former employee Guest Professor Sébastien Santurette
Head of Hearing Systems Professor Torsten Dau,
Associate Professor Ewen MacDonald: Speech perception and production,
Associate Professor Tobias May: Signal processing and machine learning
.
Photo by Joachim Rode