In recent years, the number of researchers dealing with HRTFs and 3D sound has been growing. Since the HRTFs depend on the individual geometry of a listener, every individual needs his or her own set of HRTFs in order to perceive the best possible 3D sound. In this paper, we compare regression based approaches to customize a set of HRTFs with respect to the users. The regression algorithms are initially conducted with the well-known CIPIC HRTF data base in order to find parameters for the respective approaches. Then, the customization methods are conducted for the institute's HRIR-database (LDV-database).     «

In recent years, the number of researchers dealing with HRTFs and 3D sound has been growing. Since the HRTFs depend on the individual geometry of a listener, every individual needs his or her own set of HRTFs in order to perceive the best possible 3D sound. In this paper, we compare regression based approaches to customize a set of HRTFs with respect to the users. The regression algorithms are initially conducted with the well-known CIPIC HRTF data base in order to find parameters for the respec...     »