This study offers a detailed description of the clustering tendencies of a large, standardized HRTF repository, and compares the quality of the results to those of a CIPIC database subset. The statistical analysis was implemented by applying k-means clustering on the log magnitude of HRTFs on the horizontal plane, for a varying number of clusters. A thorough report on the grouping behavior of the filters as the number of clusters increases revealed a superiority of the HRTF repository in describing common behaviors across equivalent azimuth positions, over the CIPIC subset, for the majority of the HRTF datasets.

Authors: Andreopoulou, Areti; Roginska, Agnieszka; Bello, Juan
Affiliation: New York University, New York, NY, USA
AES Convention: 131 (October 2011) Paper Number: 8539
Publication Date: October 19, 2011
Subject: Headphone Playback

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