Tools for Automating the Captioning of Video
Tools for Automating the Captioning of VideoLive Broadcast Date: Thursday, July 27, 2017
Time: 11:00 a.m. - 12:30 p.m. Eastern (UTC -- 4 hours)
Length: 1.5 hours
Speaker: Joseph Polizzotto
Target Audience: Alternate media specialists, video editors, transcribers, and anyone involved in the creation of captioned videos.
Register for Tools for Automating the Captioning of Video
Creating synchronized video captions can be a time-consuming and tedious process. Thankfully, there are a variety of free to low-cost tools that speed up this process. In this session, we will demonstrate how to use speech recognition tools to produce a "raw" transcript and how to synchronize the transcript with a video. Finally we demonstrate the usefulness of Amara, which is a free, web-based portal you can use when you don't own the copyright to a video.
Compare the accuracy of a few speech recognition tools, such as Dragon Naturally Speaking (with and without extensive testing), YouTube's Google API, and IBM Watson's Speech to Text Service, when creating a transcript of an audio or video file.
Tips and tricks for segmenting a "raw" transcript and how to download the auto-captions from YouTube.
- Learn how to use the Aeneas Web App to automatically synchronize the audio from an audio or video file with a transcript. Identify accessibility features of operating systems that can be used to evaluate functional access by users with disabilities.
- Evaluate the accuracy of your closed captioning files (e.g., SRT, VTT, SBV).
Use Amara.org to share a captioned verson of a YouTube video you don't own.
Speaker Bio:Joseph Polizzotto is an access technology specialist instructor at the High Tech Center Training Unit (HTCTU) of the California Community Colleges, where he trains college faculty and staff on alternate media and assistive technology. His recent research interests include accessible EPUB 3 and mobile reading systems. Joseph graduated with a B.A. in History from UC Santa Cruz in 2000 and received an M.A. in TESOL from San José State University in 2004.
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