Caption This: Creating Efficiency in Audiovisual Accessibility Using Artificial Intelligence

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dc.contributor.authorNorris, Abigail
dc.contributor.authorEmanuel, Michelleen_US
dc.date.accessioned2022-04-21T19:38:12Z
dc.date.available2022-04-21T19:38:12Z
dc.date.issued2021
dc.description.abstract$28,198. This project focuses on the creation of a successful workflow to use open source code to efficiently produce captions for the native streaming audio and video files in our institutional repository, thereby making A/V materials accessible to all users, in accordance with the University’s accessibility standards.en_US
dc.description.sponsorshipThis project was made possible in part by a 2020 award from the Catalyst Fund at LYRASIS.en_US
dc.identifier.doihttps://doi.org/10.48609/daxf-3202en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12669/101
dc.language.isoen_USen_US
dc.publisherLYRASIS; University of Mississippien_US
dc.rightsThis work is licensed under a Creative Commons Attribution 4.0 International License.en_US
dc.subjectArtificial intelligenceen_US
dc.subjectOpen Source Softwareen_US
dc.subjectAccessibilityen_US
dc.titleCaption This: Creating Efficiency in Audiovisual Accessibility Using Artificial Intelligenceen_US
dc.typeWorking Paperen_US
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