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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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  • Personal Perspectives on Using Automatic Speech Recognition to Facilitate Communication between Deaf Students and Hearing Customers

    James R. Mallory, Michael Stinson, Lisa Elliot, Donna Easton · 2017 · Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS)

    This experience report examines the use of Automatic Speech Recognition (ASR) via the WhatsApp smartphone app to facilitate communication between deaf and hard-of-hearing (D/HH) students and hearing business customers in real workplace settings. The study took place at the…

    automatic speech recognition · deaf and hard of hearing · workplace accessibility · deaf education · speech recognition

  • Deaf, Hard of Hearing, and Hearing Perspectives on Using Automatic Speech Recognition in Conversation

    Abraham Glasser, Kesavan Kushalnagar, Raja Kushalnagar · 2017 · Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS)

    This experience report describes the real-world accessibility challenges encountered by five participants — two deaf, one hard of hearing, and two hearing — including the authors, when using the top seven most popular ASR applications (DEAFCOM, Dragon Dictation, Siri, Virtual…

    automatic speech recognition · deaf and hard of hearing · speech recognition · communication accessibility · voice interface

  • 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

5 results.