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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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  • Modeling Word Importance in Conversational Transcripts: Toward improved live captioning for Deaf and hard of hearing viewers

    Akhter Al Amin, Saad Hassan, Matt Huenerfauth, Cecilia O. Alm · 2023 · Proceedings of the 20th International Web for All Conference (W4A)

    This paper investigates how to model word importance in conversational transcripts to improve live captioning quality for Deaf and hard of hearing (DHH) viewers. Live captions generated by automatic speech recognition (ASR) systems inevitably contain errors, but not all errors…

    live captioning · deaf and hard of hearing · automatic speech recognition · word importance · natural language processing

  • 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

2 results.