1. Modeling human localization in multiple sound-source scenarios Jonas Braasch Jens Blauert Institut für Kommunikationsakustik Ruhr-Universität Bochum email: braasch@ika.ruhr-uni-bochum.de

2. target distracter 200ms 100ms

4. Localization model

5. The cross-correlation difference function (CCDF)  t =  a -  d  t =  a -  d‘ tt  d‘  d 200ms 100ms 1.cross-correlation function for two uncorrelated signals is the sum of their single cross-correlation functions:  a =  t +  d 2.The cross-correlation function of the masker can be estimated by the preceding part:  d   d‘

6. Lateralization shifts anechoic masker 0° listeners

7. Lateralization shifts echoic masker 0°

8. Lateralization shifts anechoic masker 30°

9. Lateralization shifts anechoic masker 90°

10. Adaptation after Kashino:  t‘ =g  t with g=1/(1+k  d‘ ) using a substraction factor:  t =  a - g(t)  d‘ with a) g(0)=0; b) g(x 0 )=1;

11. Localization of unilaterally attenuated signals HRTF L HRTF R source H EQ,R H EQ,L ATT 20 dB

12. Psychoacoustic Results x=isolated target o=target in presence of distracter

13. Model localization performance for 20 dB unilaterally attenuated sounds. Top row: analysis of ITD cues; center row: analysis of ILD cues; and bottom row: average of both ITDs and ILDs. The panels in the left column show the simulation results for an isolated target. The same conditions are shown in the right column for a distracted target (0 dB T/D-ratio). Model results