Literature Reviews
Reviewed research papers, articles, and publications relevant to digital accessibility.
46 results found tagged automatic speech recognition.
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Web Educational Services for All: The APEINTA Project
This paper presents APEINTA, a Spanish educational project from Carlos III University of Madrid and the Spanish Centre of Captioning and Audio Description (CESyA), aimed at providing inclusive education through three cloud-based web services. Started…
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Crowdsourcing Correction of Speech Recognition Captioning Errors
This paper describes tools built around Synote, an award-winning web-based application from the University of Southampton, that enable crowdsourced correction of automatic speech recognition (ASR) captioning errors to make video content accessible at…
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Enhancing Learning Accessibility through Fully Automatic Captioning
This paper proposes an architecture for automatically generating synchronized captions for video lectures using off-the-shelf automatic speech recognition (ASR) software, aimed at making educational content accessible to hearing impaired students, dy…
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Introducing Game Elements in Crowdsourced Video Captioning by Non-Experts
This paper from CUNY Graduate Center and IBM Research Tokyo presents a gamified crowdsourcing platform for video captioning that combines ASR output with non-expert human transcription to improve caption accuracy without monetary rewards. The system …
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The Effects of Automatic Speech Recognition Quality on Human Transcription Latency
This paper from Carnegie Mellon University and the University of Michigan empirically investigates when automatic speech recognition (ASR) output helps or hinders human transcriptionists producing captions for deaf and hard of hearing people. Manual …
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Breaking Boundaries with Live Transcribe: Expanding Use Cases Beyond Standard Captioning Scenarios
This short paper catalogs non-traditional, serendipitous uses of Google's Live Transcribe, a free Android application that provides real-time speech-to-text transcription in over 80 languages. The authors — a mix of Google developers, researchers, an…
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Deaf and hard-of-hearing users’ prioritization of genres of online video content requiring accurate captions
This paper investigates which genres of online video content Deaf and Hard-of-Hearing (DHH) users consider most important to have accurately captioned. With over 400 hours of video uploaded to YouTube every minute and no U.S. legal mandate to caption…
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Deaf and Hard-of-Hearing Users' Preferences for Hearing Speakers' Behavior during Technology-Mediated In-Person and Remote Conversations
This paper presents the first quantitative evidence of Deaf and hard-of-hearing (DHH) individuals' preferences for specific speech and non-verbal behaviors from hearing conversational partners during technology-mediated communication. The researchers…
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Understanding Social and Environmental Factors to Enable Collective Access Approaches to the Design of Captioning Technology
This doctoral consortium paper presents a dissertation research program that reimagines how captioning technology should be designed by applying the disability justice principle of collective access — the idea that accessibility is a shared responsib…
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Access on Demand: Real-time, Multi-modal Accessibility for the Deaf and Hard-of-Hearing based on Augmented Reality
This experience report documents two deaf researchers' hands-on evaluation of Access on Demand (AoD), an augmented reality application developed at Rochester Institute of Technology that delivers real-time captioning and American Sign Language (ASL) …