STATISTICS OF BINAURAL PARAMETERS AND LOCALIZATION IN NOISE

The statistics of the binaural difference parameters were investigated by analyzing binaural signals from different directions in various sound environments. By using these statistics as a priori probabilities, an a posteriori probability of the location can be calculated using a Bayesian approach. A real-time localization algorithm based on this approach was implemented and tested. First results show a good azimuth and elevation localization accuracy in quiet environments and a robust azimuth estimation at high noise levels up to -5 dB Signal-to-Noise-Ratio (SNR).