Models, algorithms and systems for ensuring acoustic perception for all in all situations
About 18% of our population has a treatment-dependent, primary age-related hearing, and this proportion of the population is growing steadily due to demographic trends. At the same time, the individual demands on safe acoustic (voice) communication also rise in acoustically unfavourable situations (e.g. car, large rooms with noise and reverberation), so that the assurance of acoustic perception by the individual is of great importance regardless of the acoustic situation.
Due to the technological progress and the change of user behaviour (e.g. through availability of bluetooth headsets and open hearing aids supplies with wireless audio transmission technology), the demand for an individualized hearing presentations have risen sharply, especially in recent times. However, the actual benefits of the new technologies are still very limited for many (potential) users, because the techniques are neither optimally adapted to the individual user nor to the respective acoustically challenging environment situation. In order to enable optimal individualized Hörpräsentation, solutions for the following three basic problems have to be found:
1. Identify and accurately compensate/suppress acoustic interference sources in any acoustic scenario
2. Ensure the acoustic transmission of information from a electroacoustic system (e.g. hearing aid, audio headset, loudspeakers) to the hearing of the individual person
3. Extensive compensation of individual hearing impairment and consideration of individual sound preference by appropriate pre-processing of the acoustic Signal
How can these problems be solved in order to ensure the correct perception of an audible signal (speech, music, warning signal,...) in the individual person (normal hearing or with hearing loss) and in an acoustically difficult situation? In order to answer this central research question, Hörmodelle and algorithms are explored in this group of researchers and developed as part of demonstrators-i.e. innovative software and device prototypes-which provide acoustic perception in as many Make situations predictable and controllable for as many individual user profiles as possible. The demonstrators are intended to serve as a basis for future systems that help optimise acoustic perception for all people in all acoustic situations in the long term.