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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

  • Preferred Appearance of Captions Generated by Automatic Speech Recognition for Deaf and Hard-of-Hearing Viewers

    Larwan Berke, Khaled Albusays, Matthew Seita, Matt Huenerfauth · 2019 · Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems (CHI EA '19)

    This CHI 2019 Late-Breaking Work (6 pages) investigates a practical question that has received surprisingly little research: when Automatic Speech Recognition (ASR) is used to caption small-group meetings for Deaf and Hard-of-Hearing (DHH) viewers, how should those captions…

    captioning · deaf and hard of hearing · automatic speech recognition · user interface design · typography

2 results.