A Perceptual Evaluation of Individual and Non-Individual HRTFs : a case study of the SADIE II database
- Submitting institution
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University of York
- Unit of assessment
- 12 - Engineering
- Output identifier
- 60002240
- Type
- D - Journal article
- DOI
-
10.3390/app8112029
- Title of journal
- Applied Sciences
- Article number
- 2029
- First page
- -
- Volume
- 8
- Issue
- 11
- ISSN
- 2076-3417
- Open access status
- Compliant
- Month of publication
- October
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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3
- Research group(s)
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A - Communication Technologies
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper describes the recording, processing and analysis of the York SADIE binaural database. Google has adopted the binaural filters from the database into their virtual reality pipeline for 3D audio, including YouTube VR which has 3.43 Million subscribers. As testified by a Senior Software Engineer of Google (Contact): “the SADIE filters became the industry benchmark for spatial audio sound quality in VR”. The database is being used in VR games worldwide, including Epic Games' Fortnite the worlds biggest online game with over 350 million accounts (Contact: Lead Audio Programmer, Epic Games).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -