Crowdsourcing correction of speech recognition captioning errors

Michael Wald

27 citations0/0 files storedInternational Cross-Disciplinary Conference on Web Accessibility (W4A)

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Subtitles and Audiovisual Media Natural Language Processing Techniques Mobile Crowdsensing and Crowdsourcing

Abstract

In this paper, we describe a tool that facilitates crowdsourcing correction of speech recognition captioning errors to provide a sustainable method of making videos accessible to people who find it difficult to understand speech through hearing alone.

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2015On gamifying the transcription of digital video lectures 2016Effect of Speech Recognition Errors on Text Understandability for People who are Deaf or Hard of Hearing 2014A crowdsourcing caption editor for educational videos

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