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Multi-Device Challenges For Speech To Text Tools
Captioning services providers work to output transcripts in different formats on today’s devices, namely smartphones, tablets, laptops and now, virtual reality (VR) goggles. Captions On Multiple Devices Realtime captions for students or for TV accordingly need to be readable on multiple devices, as do captions recorded for video use, court sessions or for annual reports.
Crowd-Computing: New Solutions For Captions
Speech-to-text automation has a huge role in creating classroom captions for students with hearing and other issues, who don’t always note-take in class. To address the multi-speaker shortcomings of automated caption solutions, a program, Scribe, was devised at the University of Rochester. Scribe Tweaks Speech-To-Text Automation – With Humans Scribe works by crowd-sourcing humans to
Lip-Reading Training Benefits From Technology
A new study by the University of East Anglia (UEA) suggests computers are now better at lip-reading than humans. The performance of a computer based lip-reading system was compared to that of 19 human lip-readers. Results showed the computerised system was over 50% better at recognition than the humans completing the same task. Simultaneously, the
eBook: Teaching A Deaf Child To Hear And Speak
Edited by Caroline Carswell