Date: 17 October 2012
Time: 13.00-14.00
Place: NJ14 3-228 (Las Vegas)
The localization of noise is of interest in the car industry where a good mapping will make it much easier to find the sources generating the noise and thereby lower their output. The normal methods used are the delay-and-sum beam-forming and spherical harmonics beam-forming. These methods give a bad low frequency resolution and since much noise generated in a car is of low frequency these methods are not optimal. Here the mapping is done by solving an inverse problem with a transfer matrix between the volume velocity of the sources and the measured pressures at the microphone array. The problem is very ill-posed and therefore regularization have to be applied when the transfer matrix is inverted in order to give good results.
Bio
Sidsel Marie Nørholm got a Master Degree in Sound and Acoustic Technology at the Technical University of Denmark in August 2012. In September 2012 she started as a PhD student at ad:mt working at the project Spatio-Temporal Filtering Methods for Enhancement and Separation of Speech Signals.