{"id":168888,"date":"2015-10-18T00:00:00","date_gmt":"2015-10-18T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/anthropometric-parameterisation-of-a-spherical-scatterer-itd-model-with-arbitrary-ear-angles\/"},"modified":"2020-06-04T17:53:10","modified_gmt":"2020-06-05T00:53:10","slug":"anthropometric-parameterisation-of-a-spherical-scatterer-itd-model-with-arbitrary-ear-angles","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/anthropometric-parameterisation-of-a-spherical-scatterer-itd-model-with-arbitrary-ear-angles\/","title":{"rendered":"Anthropometric Parameterisation of a Spherical Scatterer ITD Model with Arbitrary Ear Angles"},"content":{"rendered":"<div class=\"asset-content\">\n<p>Accurate modelling of the interaural time difference (ITD) is crucial for rendering localised sound. Parametric models allow personalising ITDs using anthropometrics. However, the mapping between anthropometric features and model parameters is not straightforward. Here, we propose deriving personalised ITD model parameters from a sphere fitted to a 3-D head scan. The proposed ITD personalisation is evaluated on an HRTF database containing 181 subjects, for a simple spherical ITD model as well as a frequency and elevation-dependent spherical scatterer model with arbitrary ear angles.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Accurate modelling of the interaural time difference (ITD) is crucial for rendering localised sound. Parametric models allow personalising ITDs using anthropometrics. However, the mapping between anthropometric features and model parameters is not straightforward. Here, we propose deriving personalised ITD model parameters from a sphere fitted to a 3-D head scan. The proposed ITD personalisation is [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":[{"type":"user_nicename","value":"Hannes Gamper","user_id":"31943"},{"type":"user_nicename","value":"Mark Thomas","user_id":"32817"},{"type":"user_nicename","value":"Ivan Tashev","user_id":"32127"}],"msr_publishername":"IEEE - Institute of Electrical and Electronics Engineers","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"\u00a9 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting\/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.","msr_conference_name":"Proc. 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