Spatially Correct Multi-Microphone Noise Reduction Strategies suitable for Hearing Aids (SCMMNRSHA)
Due to the development of wireless technology, it is possible to equip hearing aids with more powerful noise reduction algorithms to further increase the intelligibility. However, these more powerful multichannel noise reduction algorithms sacrifice naturalness of the sound environment, also when state-of-the-art binaural noise reduction algorithms are used.
This project aims at developing signal processing algorithms to help hearing aid users in these situations, by providing them a natural impression of the acoustical scene. The research involves the automatic configuration of the hearing aid such that the performance in terms of noise-reduction capabilities is maximized given certain constraints. These constraints can be the rate needed for transmitting information between the hearing aids, the computational complexity of the beamformer algorithm or, ultimately, the power consumption.
|Researchers:||Richard Hendriks, Richard Heusdens, Andreas Koutrouvelis, Jamal Amini|
|Starting date:||April 2014|
|Closing date:||April 2019|
|Funding:||630 kE; related to group 630 kE|
|Partners:||Oticon (Denmark), Univ. Oldenburg (Germany)|