Effects of individualized head-related transfer function on predicting spatial discrimination threshold using binaural auditory model
Yu Liu, Bosun Xie
Abstract
Yu Liu, Bosun Xie
Abstract
A binaural auditory model based on Moores loudness calculation was proposed for estimating the spatial discrimination threshold of head-related transfer function (HRTF) magnitudes. The original model was implemented and testified using the HRTFs of KEMAR artificial head. However, HRTFs vary with individuals. The present work examines the effect of individualized HRTFs in the predicted performance. The results indicate that model estimation are in agreement with the psychoacoustic experiment in most case. Therefore, the model is applicable to individualized HRTFs in the average sense.
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A binaural auditory model based on Moores loudness calculation was proposed for estimating the spatial discrimination threshold of head-related transfer function (HRTF) magnitudes. The original model was implemented and testified using the HRTFs of KEMAR artificial head. However, HRTFs vary with individuals. The present work examines the effect of individualized HRTFs in the predicted performance. The results indicate that model estimation are in agreement with the psychoacoustic experiment in most case. Therefore, the model is applicable to individualized HRTFs in the average sense.
Key concepts: Binaural recording, Psychoacoustics, Head-related transfer function, Transfer function, Loudness, Computer science, Sound localization, Critical band