Kaltura: Improve and Manage Automatic Captions
When videos are uploaded to Kaltura in Canvas and MediaSpace, they are automatically captioned. This is done through the use of automatic speech recognition (ASR), which scans the audio track for spoken English.
Information for Instructors and Staff: Captioning Accuracy
ASR captions are about 80% accurate and do not meet disability accommodation requirements. Think of these captions as a first draft.
If you are providing captioning as an accommodation to a student, the captions should be reviewed and edited to meet disability accommodation requirements. If you are not providing accommodation for a student, you are not otherwise required to ensure the accuracy of the ASR caption. However, if you plan to reuse video content in the future, it is a good idea to start planning for this work. See more information about how to review, improve, and manage automatic captions.
Edit Automatic Captioning
- Media owners or co-editors can Review and Edit Captions. For information about the best way to edit captions, review the self-help guide Ensuring Accessible Video.
- Refer to the Creating Effective Captions section.
- If your video is in a language other than English, see Automatic Captions for Languages Other Than English.
- To replace the automatically generated captions, you can Upload Custom Captions.
- For an additional fee, individual videos in Kaltura can receive Professional Captioning.
Remove Automatic Captioning
- Once the video is created, if you do not want captions you can Remove Automatic Captions.
- Currently, there is no way to prevent automatic caption creation on a per-course or per-video basis. If you wish to follow up with OIT Video & Conferencing staff, please contact [email protected]