Literature Reviews
Reviewed research papers, articles, and publications relevant to digital accessibility.
6 results found tagged transcription.
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Crowd Caption Correction (CCC)
This short paper presents Crowd Caption Correction (CCC), a feature that allows meeting participants or authorized third parties to correct errors in real-time captions during telecollaboration sessions. Captions are critical for deaf and hard of hea…
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Real-Time Caption Challenge: C-Print
This demonstration paper presents C-Print, a typing-based real-time captioning system developed over 25 years by researchers at the National Technical Institute for the Deaf (NTID) at Rochester Institute of Technology. C-Print provides communication …
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Measuring the Accuracy of Automatic Speech Recognition Solutions
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-…
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The Effects of Automatic Speech Recognition Quality on Human Transcription Latency
This paper investigates a practical question for accessibility: when does providing automatic speech recognition (ASR) output help human captionists work faster, and when does it slow them down? Converting speech to text is fundamental for making aud…
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Collaborative Creation of Digital Tactile Graphics
This paper presents the Tangram Workstation, a collaborative system enabling sighted transcribers and blind reviewers to work together in real-time when creating tactile graphics. The fundamental insight is that current tactile graphics production in…
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Scopist: Building a Skill Ladder into Crowd Transcription
This paper introduces Scopist, a JavaScript application designed to teach crowd workers stenotype — a chording-based text entry method used by professional real-time captioners — while they perform audio transcription microtasks. The research address…