Beamforming for speech enhancement preserving spatial cues
Topic: This project aims at developing signal processing algorithms to help hearing aid users to reduce the background noise level in their hearing aid, while giving them a natural impression of the acoustical scene.
An often-reported problem for hearing impaired people is the inability to understand speech in complex acoustical environments as well as the inability to localize sound. 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.
Project outside the universityIn Delft, but inn collaboration with Oticon A/S (Denmark)
AssignmentThis 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. An aspect of this project is to develop a hearing aid noise reduction algorithm that maintains the spatial correctness or more generally, the naturalness of a given acoustical situation, in addition to the more conventional hearing aid goals of improving sound quality and speech intelligibility.
RequirementsThis project requires knowledge on at least:
- signal processing
- stochastic/random processes
- Digital audio and speech processing (in particular speech enhancement)
- experience with Matlab
dr.ir. Richard Hendriks
Circuits and Systems Group
Department of Microelectronics
Last modified: 2014-09-18