Observing the clustering tendencies of head related transfer function databases

Areti Andreopoulou, Agnieszka Roginska, Juan Bello

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publication131st Audio Engineering Society Convention 2011
Pages954-963
Number of pages10
StatePublished - 2011
Event131st Audio Engineering Society Convention 2011 - New York, NY, United States
Duration: Oct 20 2011Oct 23 2011

Publication series

Name131st Audio Engineering Society Convention 2011
Volume2

Other

Other131st Audio Engineering Society Convention 2011
CountryUnited States
CityNew York, NY
Period10/20/1110/23/11

ASJC Scopus subject areas

  • Modeling and Simulation
  • Acoustics and Ultrasonics

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  • Cite this

    Andreopoulou, A., Roginska, A., & Bello, J. (2011). Observing the clustering tendencies of head related transfer function databases. In 131st Audio Engineering Society Convention 2011 (pp. 954-963). (131st Audio Engineering Society Convention 2011; Vol. 2).