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• 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

• 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

• Usability Evaluation of Captions for People Who Are Deaf or Hard of Hearing

  Sushant Kafle, Matt Huenerfauth · 2018 · SIGACCESS Accessibility and Computing Newsletter (Issue 122)

  This is a SIGACCESS Newsletter article summarizing a line of research by Kafle and Huenerfauth on building a caption-quality evaluation metric that actually reflects the experience of Deaf and Hard-of-Hearing (DHH) readers — rather than simply counting speech-recognition errors.…

  automatic speech recognition · captioning · captions · caption quality · accessibility metrics

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