The Viking HRTF dataset

This paper describes the Viking HRTF dataset, a collection of head-related transfer functions (HRTFs) measured at the University of Iceland. The dataset includes fullsphere HRTFs measured on a dense spatial grid (1513 positions) with a KEMAR mannequin with 20 different artificial left pinnae attache...

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Bibliographic Details
Main Authors: Spagnol, Simone, Purkhús, Kristján Bjarki, Unnthórsson, Rúnar, Björnsson, Sverrir Karl
Format: Article in Journal/Newspaper
Language:English
Published: Sound and Music Computing Network 2019
Subjects:
Iceland
Online Access:https://vbn.aau.dk/da/publications/e17c6288-f16e-4f7f-b574-e7118e4eaf6e
https://vbn.aau.dk/ws/files/315354350/SMC_2019.pdf
http://smc2019.uma.es/articles/P1/P1_08_SMC2019_paper.pdf
http://smc2019.uma.es/docs/SMC2019_Proceedings.pdf
Description
Summary:This paper describes the Viking HRTF dataset, a collection of head-related transfer functions (HRTFs) measured at the University of Iceland. The dataset includes fullsphere HRTFs measured on a dense spatial grid (1513 positions) with a KEMAR mannequin with 20 different artificial left pinnae attached, one at a time. The artificial pinnae were previously obtained through a custom molding procedure from 20 different lifelike human heads. The analyses of results reported here suggest that the collected acoustical measurements are robust, reproducible, and faithful to reference KEMAR HRTFs, and that material hardness has a negligible impact on the measurements compared to pinna shape. The purpose of the present collection, which is available for free download, is to provide accurate input data for future investigations on the relation between HRTFs and anthropometric data through machine learning techniques or other state-of-the-art methodologies.

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