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The literature-review database. Every paper Bob has reviewed (he has read many more), with a short summary, key findings, and tags. Browse, filter, search.

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  • CapTune: Adapting Non-Speech Captions With Anchored Generative Models

    Jeremy Zhengqi Huang, Caluã De Lacerda Pataca, Saelyne Yang Wu, Dhruv Jain · 2025 · ASSETS 2025: 27th International ACM SIGACCESS Conference on Computers and Accessibility

    CapTune is a system that enables customization of non-speech captions—descriptions of environmental sounds, music, and other audio cues—for Deaf and Hard of Hearing (DHH) viewers. Current captioning practices follow a one-size-fits-all model based on standardized guidelines like…

    closed captioning · non-speech information · caption customization · deaf and hard of hearing · generative AI

  • Who is speaking: Unpacking In-text Speaker Identification Preference of Viewers who are Deaf and Hard of Hearing while Watching Live Captioned Television Program

    Akhter Al Amin, Joseph Mendis, Raja Kushalnagar, Christian Vogler, Matt Huenerfauth · 2023 · Proceedings of the 20th International Web for All Conference (W4A '23)

    This study systematically investigates how the number of speakers onscreen in live television programs affects Deaf and Hard of Hearing (DHH) viewers' preferences for different in-text speaker identification methods in captions. Live TV news and interviews often feature multiple…

    deaf and hard of hearing · captioning · live captioning · television accessibility · caption quality

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