Closed Captions for Videos in Kaltura My Media

Captions are automatically added to all new media in Kaltura using ASR (automatic speech recognition). Owners are responsible for editing the captions and publishing them to show in the player.

Automatic Speech Recognition (ASR) captioning is available via Kaltura (in Media Space, Canvas and Blackboard). 

• Before you start
• Why should I caption?
• Request captions
• Edit captions
• Release captions
• Hints, tips, and best practices

 

   Before you start, keep in mind:

 

Media creators are responsible for captioning their content.  Content that is not captioned may be removed from public view. If you have a student or colleague that will benefit from this captioning feature, you must make that content accessible to them.

   Benefits (Why should I create captions?)

Accessible content has many benefits to you the media owner and to viewers in general. Beyond following the law, it means being a good neighbor.  Accessible content:

• Is necessary for the deaf or hard of hearing to understand what is happening in an audio or video file.  Federal (section 508) and Illinois State Law (IITAA) as well as campus regulations require that multimedia and web content be accessible to all users.   
• Is useful to those with learning disabilities. Many students find it easier to focus if written words accompany the media.
• Can make it easier to understand someone with an accent.
• Enables non-native English speakers to better understand what is being said and follow along.
• Helps certain learners process information more effectively.
• Enables viewing of content in a loud space or if one lacks headphones.
• Is easier to reuse in later semesters, saving instructors time.
• Is more easily found. As a content creator you will have more views if your content is captioned because the content is searchable. Really, it's a great feature in Kaltura. 

This entry does not seek to offer expertise in captioning. Students that require accessibility services and human based captioning (for best accuracy) should work with the Office of Disability Services. 

 

Captioning in Kaltura

Automatic Speech Recognition (ASR) captioning in produces a text file is then associates it with the media in Kaltura. Captions are time coded to specific points in a video or audio file. 

ASR is 70%-90% accurate, based on various factors. That may sound like a passing grade, but it isn't. Even a recording of a speaker with perfect diction and fidelity in the recording will need some editing.  Technical terms, acronyms, proper names, and both common and uncommon words may not appear as you expect them to. For example, early tests returned "Amino acids" as "I mean no acids."  Also, punctuation will not be added, aside from where ACR thinks a pause is long enough to merit a period.  You will need to review and edit captions for media you own. 

The process of using ASR for captioning has 2 components: Requesting the captions and Editing the captions.

The following assumes you have used Kaltura before.

[To the top.]

   Request captions

Captions can be requested by owners, co-editors, or co-publishers of media.  (For information on adding netids as co-editors or co-publishers, see Kaltura, Adding collaborators .)

To request captions:

• Log in (to MediaSpace/Canvas/Blackboard) and go to MyMedia or to the media entry directly. 
• Go to the video/audio file you want to caption and go to that video's entry page.
• Under the video entry click on the Actions button and choose Captions and Enrich from the drop-down menu. 
   
• Click the Order Button. 
• Click Submit.
  

   Edit the Captions

Once the ASR captions are returned, they must be reviewed and edited.  Owners, co-editors, or co-publishers of media can edit captions.   For information on adding netids as co-editors, see Kaltura, Adding collaborators .

(Editing the captions can be done locally by downloading the .srt file and using a desktop editor if you are an advanced user. For the majority of Illinois medias owners, you will want to use the editor in Kaltura.) 

Accessing the editor:

   Important hints and tips

 

Best practices and recommendations to create better captions

Effective and efficient captioning is a practiced skill and this service does not pretend to replace our campus experts. This service is provided to the campus in order to provide more accessibility for content that otherwise would not be captioned by a person. The ASR tool does not record everything verbatim, it drops ummms and uhhhs for example. It also does not provide important punctuation cues. You, the editor, can take some small steps that will greatly enhance the experience for someone using the captions.

• If there is a period of silence or music, don't leave the captions blank. Add a text that says [MUSIC] or [SILENCE] so the reader knows nothing is being missed.
• If you cannot understand what was said enter [UNKNOWN] or [INAUDIBLE]
• Use other descriptors when relevant, such as [CROSSTALK], [MUSIC], [NOISE], [LAUGH], [COUGH], [FOREIGN], [SOUND], [BLANK_AUDIO], AND[APPLAUSE]. 
• If more than one speaker is present in the media, particularly if there is a back and forth discussion, identify the speaker when the person changes. For example:
  • Dialogue or conversation
    • Professor X: The past: a new and uncertain world. A world of endless possibilities and infinite outcomes. 
    • Peter: With great power comes great responsibility.
  • Question in the middle of a lecture with one main speaker:
    • Student: Will this be on the test?
• Captions should preserve and identify slang or accents.
• Do not correct errors in what was said. The captions should reflect exactly what is said, and not correct a misspoken phrase or word.
• "Neutral" accents will result in better captions, as will enunciating clearly. Mumbled words will not convert well.
• Better than average audio sources in a quiet room will result in better captions than ASR from a recording in a noisy space. Media with music and sound effects will not convert well either.
• A camcorder at the back of a loud classroom using the built in mic will result in very poor ASR results. Use a mic attached to the speaker or at least one in very close proximity. 
• Practice, practice, practice.