Dr Josef Schlittenlacher

Interests

EPSRC grant: "Machine Learning for Hearing Aids: Intelligent Processing and Fitting" with Richard Turner and Brian Moore.

In the last three years we have developed hearing tests that use Bayesian active learning in order to make the tests both faster and more accurate. Using them in clinical practice, an audiologist can not only test an audiogram, but for example also outer hair cell loss or dead regions, all within reasonable time.

Further research includes deep learning for the signal processing in hearing aids.

We have also developed hearing models for normal and impaired hearing. Our loudness model that is also applicable to binaural time-varying sounds is currently being standardized as ISO 532-3.

Research Focus

Keywords

Bayesian active learning

Deep learning

Hearing

Models

Hearing aids

Clinical conditions

Deafness

Hearing and balance deficits

Equipment

Computational modelling

Neuropsychological testing

Psychophysical testing

Collaborators

Cambridge

Brian Moore

Richard Turner

International

Wolfgang Ellermeier

Takeo Hashimoto

Sonoko Kuwano

Seiichiro Namba

Associated News Items