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Convention Paper

Observing the Clustering Tendencies of Head Related Transfer Function Databases

Authors: Andreopoulou, Areti; Roginska, Agnieszka; Bello, Juan

AES Convention 131 · Paper 8539 · October 2011

Abstract

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.

Details

Published in
AES Convention 131
AES Convention
131
Paper number
8539
Publication date
October 6, 2011
Session subject
Headphone Playback
Affiliation
New York University, New York, NY, USA (See document for exact affiliation information.)
Type
Convention Paper