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• 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

• Scopist: Building a Skill Ladder into Crowd Transcription

  Jeffrey P. Bigham, Kristin Williams, Nila Banerjee, John Zimmerman · 2017 · Proceedings of the 14th International Web for All Conference (W4A)

  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 addresses a fundamental problem in…

  crowdsourcing · captioning · stenography · deaf accessibility · transcription

• Collaborative Creation of Digital Tactile Graphics

  Jens Bornschein, Denise Prescher, Gerhard Weber · 2015 · ASSETS '15: Proceedings of the 17th International ACM SIGACCESS Conference on Computers & Accessibility

  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 involves sighted transcribers…

  visual impairment · tactile graphics · collaboration · pin-matrix display · refreshable braille display

• The Effects of Automatic Speech Recognition Quality on Human Transcription Latency

  Yashesh Gaur · 2015 · ASSETS '15: Proceedings of the 17th International ACM SIGACCESS Conference on Computers & Accessibility

  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 audio content accessible to deaf…

  deaf · hard of hearing · automatic speech recognition · ASR · captioning

• Real-Time Caption Challenge: C-Print

  Michael S. Stinson, Pamela Francis, Lisa B. Elliot, Donna Easton · 2014 · Proceedings of the 16th International ACM SIGACCESS Conference on Computers & Accessibility (ASSETS '14)

  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 access for deaf and hard of…

  deaf and hard of hearing · real-time captioning · communication access · transcription · mobile accessibility

• Crowd Caption Correction (CCC)

  Rebecca Perkins Harrington, Gregg C. Vanderheiden · 2013 · Proceedings of the 15th International ACM SIGACCESS Conference on Computers and Accessibility (Assets '13)

  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 hearing people to participate in…

  captioning · deaf and hard of hearing · crowdsourcing · telecollaboration · real-time captioning

6 results.