Abstract
Head-related transfer functions (HRTFs) depend on the shape of the human head and ears, motivating HRTF personalization methods that detect and exploit morphological similarities between subjects in an HRTF database and a new user. Prior work determined similarity from sets of morphological parameters. Here we propose a non-parametric morphological similarity based on a harmonic expansion of head scans. Two 3D spherical transforms are explored for this task, and an appropriate shape similarity metric is defined. A case study focusing on personalisation of interaural time differences (ITDs) is conducted by applying this similarity metric on a database of 3D head scans.
Original language | English |
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Title of host publication | IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 |
Publisher | IEEE |
Pages | 306-310 |
Number of pages | 5 |
Volume | 2016-May |
ISBN (Print) | 9781479999880 |
DOIs | |
Publication status | Published - 18 May 2016 |
MoE publication type | A4 Conference publication |
Event | IEEE International Conference on Acoustics, Speech, and Signal Processing - Shanghai, China Duration: 20 Mar 2016 → 25 Mar 2016 Conference number: 41 http://www.icassp2016.org/ |
Publication series
Name | Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing |
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Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISSN (Print) | 1520-6149 |
ISSN (Electronic) | 2379-190X |
Conference
Conference | IEEE International Conference on Acoustics, Speech, and Signal Processing |
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Abbreviated title | ICASSP 2016 |
Country/Territory | China |
City | Shanghai |
Period | 20/03/2016 → 25/03/2016 |
Internet address |
Keywords
- 3D shape similarity
- 3D transform
- HRTF personalisation
- spherical harmonic transform