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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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  • Scopist: Building a Skill Ladder into Crowd Transcription

    Jeffrey P. Bigham, Kristin Williams, Nila Banerjee, John Zimmerman · 2017 · Proceedings of the 14th International Web for All Conference (W4A)

    This paper introduces Scopist, a JavaScript application designed to teach crowd workers stenotype — a chording-based text entry method used by professional real-time captioners — while they perform audio transcription microtasks. The research addresses a fundamental problem in…

    crowdsourcing · captioning · stenography · deaf accessibility · transcription

  • Evaluating the Usability of Automatically Generated Captions for People who are Deaf or Hard of Hearing

    Sushant Kafle, Matt Huenerfauth · 2017 · Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '17)

    This paper addresses a fundamental problem in automatic captioning for Deaf and Hard of Hearing (DHH) users: the standard metric used to evaluate automatic speech recognition (ASR) systems — Word Error Rate (WER) — poorly predicts how usable the resulting captions actually are…

    captioning · automatic speech recognition · deaf and hard of hearing · evaluation methods · natural language processing

  • Deaf and Hard-of-Hearing Perspectives on Imperfect Automatic Speech Recognition for Captioning One-on-One Meetings

    Larwan Berke, Christopher Caulfield, Matt Huenerfauth · 2017 · Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '17)

    This paper investigates whether and how to display word-level confidence information from Automatic Speech Recognition (ASR) systems in real-time captions for Deaf and Hard-of-Hearing (DHH) users during one-on-one meetings with hearing people. ASR engines assign confidence…

    deaf accessibility · automatic speech recognition · captioning · communication · user research

  • Leveraging Complementary Contributions of Different Workers for Efficient Crowdsourcing of Video Captions

    Yun Huang, Yifeng Huang, Na Xue, Jeffrey P. Bigham · 2017 · CHI Conference on Human Factors in Computing Systems

    This paper presents BandCaption, a crowdsourcing system that combines automatic speech recognition (ASR) with input from diverse crowd workers to efficiently correct video captions. The key insight is that different groups of people — hearing-impaired users, second-language…

    captioning · crowdsourcing · video accessibility · speech recognition · deaf and hard of hearing

  • Scribe: Deep Integration of Human and Machine Intelligence to Caption Speech in Real Time

    Walter S. Lasecki, Christopher D. Miller, Iftekhar Naim, Raja Kushalnagar, Adam Sadilek, Daniel Gildea, Jeffrey P. Bigham · 2017 · Communications of the ACM

    Scribe is a system that provides on-demand, real-time captioning of live speech for deaf and hard of hearing (DHH) people by combining groups of non-expert human captionists with machine intelligence. The system addresses a critical accessibility gap: professional CART…

    real-time captioning · deaf and hard of hearing · crowdsourcing · human computation · speech recognition

5 results.