To enhance the localization performance of listeners using head-related impulse responses HRIR datasets from dummy heads, individualization was added. An ellipsoidal model is used to adapt the Interaural Time Difference (ITD) of the dataset to individual subjects by using their anthropometric data. Head measurements from 23 subjects were used to validate the model. The ITD model is based on an ellipsoid shape and the analytical solution of the sound transmission around a sphere. A comparison of the measured and adapted ITDs shows that the average absolute error was 25 +/- 9 µs, which is a value below the just-noticeable difference. However, the ellipsoidal model underestimates the ITD. In contrast to similar approaches, this model calculates both azimuth- and elevation-dependent ITDs. Since the ITD of a given HRTF dataset is individualized, the shoulder reflections and the ear offset are maintained.
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