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• Challenges in Automatic Speech Recognition for Adults with Cognitive Impairment

  Michelle Cohn, Alyssa Lanzi, Yui Ishihara, Chen-Nee Chuah, Georgia Zellou, Alyssa Weakley · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper quantifies how well state-of-the-art automatic speech recognition (ASR) handles voice commands produced by older adults with cognitive impairment, and asks which acoustic features actually predict transcription accuracy. The authors draw on the Voice…

  automatic speech recognition · ASR · dementia · Alzheimer's disease · mild cognitive impairment

• Measuring the Accuracy of Automatic Speech Recognition Solutions

  Korbinian Kuhn, Verena Kersken, Benedikt Reuter, Niklas Egger, Gottfried Zimmermann · 2024 · ACM Transactions on Accessible Computing

  This study provides independent, comprehensive benchmarking of 11 common automatic speech recognition (ASR) services to assess their real-world accuracy for accessibility purposes. The research addresses a critical gap: while vendors claim "state-of-the-art accuracy" and…

  automatic speech recognition · ASR · captions · deaf and hard of hearing · transcription

• 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

• Enhancing Accessibility through Correction of Speech Recognition Errors

  John-Mark Bell · 2007 · SIGACCESS Accessibility and Computing

  This paper investigates methods for automatically correcting errors in speech recognition-generated captions of university lectures, aiming to improve accessibility for hearing-impaired students. The author notes that while ASR-based captioning can make lectures accessible by…

  automatic speech recognition · captioning · deaf and hard of hearing · higher education · natural language processing

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