AES E-Library

Observing the Clustering Tendencies of Head Related Transfer Function Databases

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 Import into BibTeX
Subject:Headphone Playback

Click to purchase paper or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!

This paper costs $20 for non-members, $5 for AES members and is free for E-Library subscribers.

Learn more about the AES E-Library

E-Library Location: (CD 131Papers)   /131/8539.pdf

Start a discussion about this paper!