Personalization of object-based audio for accessibility using narrative importance

Shirley, B ORCID:, Ward, L and Chourdakis, ET 2019, Personalization of object-based audio for accessibility using narrative importance , in: TVX 2019 - ACM International Conference on Interactive Experiences for Television and Online Video, 5th-7th June 2019, Media City, Salford UK.

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An increasing incidence of hearing impairment and of re- ported problems with broadcast audio is leading to an in- creased demand for personalized audio services. Previous research has treated these issues as a ‘speech in noise’ prob- lem; sounds are viewed as speech (good) or as competing masker (bad). This binary approach to accessible audio dis- regards the important role of some non-speech sounds in facilitating understanding of broadcast programme narra- tive. This work, as part of the S3A project, has taken a more holistic approach to audio personalization using categories of narrative importance to provide complex manipulations of broadcast audio based on narrative comprehension, instead of simply intelligibility. A simple, intuitive user-interface allows the user to adjust the complexity of audio scenes based on their personal hearing needs, metadata is generated at pro- duction using plugins to generate appropriate metadata and audio previews of user-narrative importance settings. This paper outlines the concept of narrative importance, the pro- duction tools and the end-user interface designed to deliver it. Response to these tools from target users and production staff are discussed as well as ongoing work.

Item Type: Conference or Workshop Item (Paper)
Schools: Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre
Journal or Publication Title: DataTV at TVX 2019
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Funders: Engineering and Physical Sciences Research Council (EPSRC)
Depositing User: Dr Ben Shirley
Date Deposited: 01 Dec 2021 16:03
Last Modified: 15 Feb 2022 17:17

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