Implementation of Automatic Captioning System to Enhance the Accessibility of Meetings

Fume, Kosei; Ashikawa, Taira; Watanabe, Nobuyuki; Fujimura, Hiroshi

doi:10.1007/978-3-319-94277-3_31

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2020

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“…Text from the speech recognition output would appear on the DHH user's screen. As processing power increased and algorithms advanced, speech recognition improved such that trained third party intermediaries have become less necessary, and the speech of the hearing parties in the conversation can be transcribed directly (although sometimes there are challenges to doing so automatically [10]) with speech recognition [11]. As speech recognition technology has improved, it has been used more widely to caption lectures, videos, and conversations between DHH and hearing people [23,26].…”

Section: Introductionmentioning

confidence: 99%

Breaking Boundaries with Live Transcribe: Expanding Use Cases Beyond Standard Captioning Scenarios

Loizides

Basson

Kanevsky

et al. 2020

Proceedings of the 22nd International ACM SIGACCESS Conference on Computers and Accessibility

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In this paper, we explore non-traditional, serendipitous uses of an automatic speech recognition (ASR) application called Live Transcribe. Through these, we are able to identify interaction use cases for developing further technology to enhance the communication capabilities of deaf and hard of hearing people. CCS CONCEPTS• Human-centered computing → Accessibility technologies; Accessibility; Tablet computers; Mobile phones.

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Section: Introductionmentioning

confidence: 99%