Head-Related Impulse Responses (HRIRs) are used in signal processing to implement the synthesis of spatialized audio. They represent the modification that sound undergoes from its source to the listener's eardrums. HRIRs are somewhat different for each listener and require expensive specialized equipment for their individual measurement. Therefore, the development of a method to obtain customized HRIRs without specialized equipment is extremely desirable. A customizable representation of HRIRs can be created by modeling them in terms of an appropriate set of time delays and a resonant frequency. Previously, this was achieved manually, by trial and error. In this research an automated algorithm for the definition of the appropriate delays and resonant frequency needed to model an HRIR was developed, implemented and evaluated. This provides an objective, repeatable way to determine the parameters of the HRIR model. The automated process provided an average accuracy of 96.9% in the analysis of 2160 HRIRs.
