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Journal Article Open Access

Personalized Object-Based Audio for Hearing Impaired TV Viewers

Authors: Shirley, Ben Guy; Meadows, Melissa; Malak, Fadi; Woodcock, James Stephen; Tidball, Ash

Journal of the Audio Engineering Society · Volume 65 · Issue 4 · pp. 293–303 · April 2017

Abstract

Age demographics have led to an increase in the proportion of the population suffering from some form of hearing loss. The introduction of object-based audio to television broadcasting has the potential to improve the viewing experience for millions of hearing impaired people. Personalization of object-based audio can assist in overcoming difficulties in understanding speech and the narrative audio. This research presented describes a Multi-Dimensional Audio (MDA) implementation of object-based clean audio that presents independent object streams based on object-category elicitation. Evaluations were carried out with hearing impaired people, and participants were able to personalize audio levels independently for four object-categories using an on-screen menu: speech, music, background effects, and foreground effects related to on-screen events. Results show considerable preference variation across subjects but nevertheless the expanding object-category personalization beyond a binary speech/nonspeech categorization can substantially improve the viewing experience for some hearing impaired people.

Details

Publication
Journal of the Audio Engineering Society
Volume
65
Issue
4
Pages
293–303
Publication date
April 6, 2017
Affiliation
University of Salford, Salford, UK (See document for exact affiliation information.)
Type
Journal Article

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