You are currently logged in as an
Institutional Subscriber.
If you would like to logout,
please click on the button below.
Home / Publications / E-library page
Only AES members and Institutional Journal Subscribers can download
Object-based audio has great capacity for production and delivery of adaptive and personalizable content. This can be used to improve the accessibility of complex content for listeners with hearing impairments. An adaptive object-based audio system was used to make mix changes enabling listeners to balance narrative comprehension against immersion using a single dial. Performance was evaluated by focus groups of 12 hearing impaired participants who gave primarily positive feedback. An experienced sound designer also evaluated the function of the control and process for authoring the necessary metadata establishing that the control facilitated a clearer narrative while maintaining mix quality. In future work the algorithm, production tools, and interface will be refined based on the feedback received.
Author (s): Ward, Lauren; Shirley, Ben; Francombe, Jon
Affiliation:
University of Salford, Salford, UK; BBC Research and Development, Salford, UK
(See document for exact affiliation information.)
AES Convention: 145
Paper Number:478
Publication Date:
2018-10-06
Import into BibTeX
Session subject:
Spatial Audio
Permalink: https://aes2.org/publications/elibrary-page/?id=19742
(919KB)
Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member Join the AES. If you need to check your member status, login to the Member Portal.
Ward, Lauren; Shirley, Ben; Francombe, Jon; 2018; Accessible Object-Based Audio Using Hierarchical Narrative Importance Metadata [PDF]; University of Salford, Salford, UK; BBC Research and Development, Salford, UK; Paper 478; Available from: https://aes2.org/publications/elibrary-page/?id=19742
Ward, Lauren; Shirley, Ben; Francombe, Jon; Accessible Object-Based Audio Using Hierarchical Narrative Importance Metadata [PDF]; University of Salford, Salford, UK; BBC Research and Development, Salford, UK; Paper 478; 2018 Available: https://aes2.org/publications/elibrary-page/?id=19742