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.
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