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 caption speech ‘gaps’ in service-text-delivery within five seconds, in a ‘shotgun computing’ technique.
In the online video space, Amara is also exploring crowdsourced captions by inviting YouTube users to link their account to Amara.org for captions to be shared on major video-hosting sites like YouTube, Vimeo and UStream.
Read: Amara offers YouTube users crowdsourced captions
Amara first tested crowdsourced captions for Obama’s 2011 State of the Union address, and saw a tipping-point in the 2012 presidential campaign.
Video- and real-time captioning are ideal real-world skills for multimedia journalism programs to emphasise to students. Media faculty heads need to build provision of video-captions into student coursework briefs for meeting deadlines: the students may find a career path in the accessibility field.
More Reading
- California Student Seeks Captions, Not FM
- Students Put Texas State University On The Spot
- Cornell STEM Captioning May Reach High Schools
- Australia To Take Classroom Captioning ‘National’
- TeachNet Blog: Closed Captions In The Classroom
- Deaf Student Uses Captions In An Operating Theatre
- Video Captioning ‘Requires Automated Workflows’
- Digital Media Content Accessibility For Deaf Students
- Captions In The Classroom Boost Literacy Skills
