Real-Time Correction of Closed-Captions

Live closed-captions for deaf and hard of hearing audiences are currently produced by stenographers, or by voice writers using speech recognition. Both techniques can produce captions with errors. We are currently developing a correction module that allows a user to intercept the real-time caption stream and correct it before it is broadcast. We report results of preliminary experiments on correction rate and actual user performance using a prototype correction module connected to the output of a speech recognition captioning system.

• Type: Conference
• Year: 2007
• Where: ACL
• Authors: Patrick Cardinal, Gilles Boulianne, Michel Comeau, Maryse Boisvert
• Keywords: ACL 2007, Computational Linguistics, Correction Module, Prototype Correction Module, Speech Recognition