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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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  • Predicting the Understandability of Imperfect English Captions for People Who Are Deaf or Hard of Hearing

    Sushant Kafle, Matt Huenerfauth · 2019 · ACM Transactions on Accessible Computing (TACCESS)

    This paper tackles a fundamental measurement problem in ASR-based captioning for Deaf and Hard-of-Hearing (DHH) users: the standard Word Error Rate (WER) metric has little correlation with how DHH users actually perceive caption quality. WER treats all word errors as equally…

    automatic speech recognition · captioning · deaf and hard of hearing · evaluation metrics · word error rate

  • Exploration of Automatic Speech Recognition for Deaf and Hard of Hearing Students in Higher Education Classes

    Janine Butler, Brian Trager, Byron Behm · 2019 · Proceedings of the 21st International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2019)

    This paper presents a qualitative study of how deaf and hard of hearing (DHH) students at the National Technical Institute for the Deaf (Rochester Institute of Technology) experienced automatic speech recognition (ASR) as a supplemental access service in mainstream higher…

    speech recognition · Deaf and hard of hearing · captioning · higher education · real-time captions

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