Dr Ben Shirley B.G.Shirley@salford.ac.uk
Reader
Improving television sound for people with hearing impairments
Shirley, BG
Authors
Abstract
This thesis investigates how developments in audio for digital television can be utilised to improve the experience of hearing impaired people when watching television. The work has had significant impact on international digital TV broadcast standards; it led to the formation of the UK Clean Audio Forum whose recommendations based on the research have been included in ETSI international standards for digital television, adopted into ITU standards for IPTV and also into EBU and NorDig digital television receiver specifications. In this thesis listening tests are implemented to assess the impact of various processes with a phantom centre channel and with a centre loudspeaker. The impact of non-speech channel attenuation and dynamic range control on speech clarity, sound quality and enjoyment of audio-visual media are investigated for both hearing impaired and non-hearing impaired people. For the first time the impact of acoustical crosstalk in two channel stereo reproduction on intelligibility of speech is quantified using both subjective intelligibility assessments and acoustic measurement techniques with intelligibility benefits of 5.9% found by utilising a centre loudspeaker instead of a phantom centre. A novel implementation of principal component analysis as a pre- broadcast production tool for labelling AV media compatible with a clean audio mix is identified, and two research implementations of accessible audio are documented including an object based implementation of clean audio for live broadcast that has been developed and publicly demonstrated.
Citation
Shirley, B. Improving television sound for people with hearing impairments. (Thesis). University of Salford
Thesis Type | Thesis |
---|---|
Deposit Date | Apr 30, 2014 |
Publicly Available Date | Apr 5, 2016 |
Additional Information | Projects : The Clean Audio Project;Fascinate |
Files
PhD_Dissertation_2.0.pdf
(5.4 Mb)
PDF
Version
PhD Thesis
You might also like
Cloud-based AI for automatic audio production for personalized immersive XR experiences
(2022)
Journal Article
Dementia-friendly design of television news broadcasts
(2019)
Journal Article
Downloadable Citations
About USIR
Administrator e-mail: library-research@salford.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search