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.

Authors: Kaneko, Shoken; Suenaga, Tsukasa; Okumura, Hiraku; Kim, Sungyoung
Affiliations: Yamaha Corporation; Yamaha Corporation; Kyoto University; Rochester Institute of Technology(See document for exact affiliation information.)
AES Conference: 2019 AES International Conference on Immersive and Interactive Audio (March 2019)
Paper Number: 8
Publication Date: March 17, 2019 Import into BibTeX
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=20405

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