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Automatic Statistical Analysis of Ear Shape Anthropometrics of an International Ear Shape Database

We present a statistical analysis result of ear-related anthropometric data measured from 162 subjects and its subsets divided by gender and race. To analyze the data efficiently, we have developed a measurement technique that is semi-automatic, and therefore, can scale to larger data sets. The results show that, ear dimensions of Asian subjects’ ears tend to be larger than those of non-Asian subjects. Statistical tests confirmed the significant difference of the ear dimensions between different gender and racial categories. These findings suggest the importance of taking into account the subject’s demographic information such as gender or race, for generalized or individualized HRTF data based on ear shape modeling for immersive audio applications.

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