One of the main spatial audio topics, nowadays, involves working towards an efficient individualization method of Head Related Transfer Functions. A major limitation in this area of research is the lack of a large and uniform database that will incorporate as many individualized properties as possible. This paper presents the MARL-NYU file format for storing HRTF datasets, and investigates the necessary normalization steps that assure a uniform and standardized HRTF repository, by compiling selected datasets from four HRTF databases.

Authors: Andreopoulou, Areti;Roginska, Agnieszka
Affiliation: New York University, New York, NY, USA
AES Convention: 131 (October 2011) Paper Number: 8571
Publication Date: October 19, 2011 Import into BibTeX
Subject: Posters: Spatial Audio Processing
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=16096

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