Analysis of binaural cue matching using ambisonics to binaural decoding techniques

Hdl Handle:
http://hdl.handle.net/10545/621858
Title:
Analysis of binaural cue matching using ambisonics to binaural decoding techniques
Authors:
Wiggins, Bruce ( 0000-0002-7345-6098 )
Abstract:
Last year Google enabled spatial audio in head-tracked 360 videos using Ambisonics to binaural decoding on Android mobile devices. There was some early criticism of the 1st order to binaural conversion employed by Google, in terms of the quality of localisation and noticeable frequency response colouration. In this paper, the algorithm used by Google is discussed and the Ambisonics to Binaural conversion using virtual speakers analysed with respect to the resulting inter-aural time, level, and spectrum differences compared to an example HRTF data set. 1st to 35th order Ambisonics using multiple virtual speaker arrays are implemented and analysed with inverse filtering techniques for smoothing the frequency spectrum also discussed demonstrating 8th order decoding correctly reproducing binaural cues up to 4 kHz.
Affiliation:
University of Derby
Citation:
Wiggins, B. (2017) 'Analysis of binaural cue matching using ambisonics to binaural decoding techniques' Presented at 4th International Conference on Spatial Audio, Graz, Austria, 7th-10th September.
Issue Date:
2017
URI:
http://hdl.handle.net/10545/621858
Additional Links:
http://vdt-icsa.de/
Type:
Presentation
Language:
en
Sponsors:
N/A
Appears in Collections:
Department of Electronics, Computing & Maths

Full metadata record

DC FieldValue Language
dc.contributor.authorWiggins, Bruceen
dc.date.accessioned2017-09-22T10:23:54Z-
dc.date.available2017-09-22T10:23:54Z-
dc.date.issued2017-
dc.identifier.citationWiggins, B. (2017) 'Analysis of binaural cue matching using ambisonics to binaural decoding techniques' Presented at 4th International Conference on Spatial Audio, Graz, Austria, 7th-10th September.en
dc.identifier.urihttp://hdl.handle.net/10545/621858-
dc.description.abstractLast year Google enabled spatial audio in head-tracked 360 videos using Ambisonics to binaural decoding on Android mobile devices. There was some early criticism of the 1st order to binaural conversion employed by Google, in terms of the quality of localisation and noticeable frequency response colouration. In this paper, the algorithm used by Google is discussed and the Ambisonics to Binaural conversion using virtual speakers analysed with respect to the resulting inter-aural time, level, and spectrum differences compared to an example HRTF data set. 1st to 35th order Ambisonics using multiple virtual speaker arrays are implemented and analysed with inverse filtering techniques for smoothing the frequency spectrum also discussed demonstrating 8th order decoding correctly reproducing binaural cues up to 4 kHz.en
dc.description.sponsorshipN/Aen
dc.language.isoenen
dc.relation.urlhttp://vdt-icsa.de/en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectAmbisonicsen
dc.subjectBinauralen
dc.subjectVirtual Realityen
dc.subjectSpherical Harmonicsen
dc.subjectHead-related transfer function (HRTF)en
dc.titleAnalysis of binaural cue matching using ambisonics to binaural decoding techniquesen
dc.typePresentationen
dc.contributor.departmentUniversity of Derbyen
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