Auditory model based subsetting of Head-Related Transfer Function datasets

Simone Spagnol*

*Corresponding author

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

2 Citations (Scopus)

Abstract

The rising availability of public head-related transfer function (HRTF) data, measured on hundreds of different individuals, offers a user the possibility to select the best matching non-individual HRTF from a wide catalogue. To this end, reducing the number of alternatives to a small subset of candidate HRTFs is the first step towards an efficient selection process. In this article a novel HRTF subset selection algorithm based on auditory-model vertical localization predictions and a greedy heuristic is outlined, designed to identify a representative HRTF subset from a catalogue including the three biggest public datasets currently available (373 HRTFs overall). The so-resulting subset (6 HRTFs) is then evaluated on a fourth independent dataset. Auditory model predictions show that for over 95% of the subjects of this dataset there exists at least one HRTF out of the representative subset scoring minimal vertical localization error deviations compared to the best available non-individual HRTF out of the catalogue.
Original languageEnglish
Title of host publicationProceedings of the 45th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020)
Number of pages5
Place of PublicationBarcelona, Spain
PublisherIEEE
Publication dateMay 2020
Pages391-395
Article number9053360
ISBN (Electronic)978-1-5090-6631-5
DOIs
Publication statusPublished - May 2020
EventICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) - Barcelona, Spain
Duration: 4 May 20208 May 2020

Conference

ConferenceICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
CountrySpain
CityBarcelona
Period04/05/202008/05/2020

Keywords

  • Auditory model
  • HRTF selection
  • binaural
  • sound localization

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  • Cite this

    Spagnol, S. (2020). Auditory model based subsetting of Head-Related Transfer Function datasets. In Proceedings of the 45th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020) (pp. 391-395). [9053360] IEEE. https://doi.org/10.1109/icassp40776.2020.9053360