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Looking for a Relevant Similarity Criterion for HRTF Clustering: A Comparative Study

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For high-¯delity Virtual Auditory Space (VAS), binaural synthesis requires individualized Head-Related Transfer Functions (HRTF). An alternative to exhaustive measurement of HRTF consists in measuring a set of representative HRTF in a few directions. These selected HRTF are considered as representative because they summarize all the necessary spatial and individual information. The goal is to deduce the HRTF in non-measured directions from the measured ones by appropriate modeling. Clustering is applied in order to identify the representative directions, but the ¯rst issue relies on the de¯nition of a relevant distance criterion. The paper presents a comparative study of several criteria taken from literature. A new insight in HRTF (dis)similarity is proposed.

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