Analysis by synthesis spatial audio coding
- Submitting institution
-
Loughborough University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 709
- Type
- D - Journal article
- DOI
-
10.1049/iet-spr.2013.0015
- Title of journal
- IET Signal Processing
- Article number
- 1
- First page
- 30
- Volume
- 8
- Issue
- 1
- ISSN
- 1751-9675
- Open access status
- Out of scope for open access requirements
- Month of publication
- February
- Year of publication
- 2014
- 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
-
2
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper impacts the state of the art by proposing an efficient analysis-by-synthesis spatial audio coding algorithm that improves the immersive experience significantly for many applications, such as live broadcasting, gaming, and other audio services, on mobile devices. Huawei are now partnering with Loughborough to develop this work for 5G immersive voice and audio service coding standard under a joint research and development agreement funded by Huawei Technology Co. Ltd. (Contract Project Manager, huawei.com).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
