Q&A about captioning from NDC

Closed Caption feed on TV screenThe National Deaf Center on Post Secondary Outcomes (NDC) has recently been publishing a number of valuable resources regarding accessibility accommodations for people with deafness or hearing impairments. The latest comes in the form of a Q&A (questions and answers) with section that was particularly helpful. We picked this one to share, but please view the full resource and consider signing up for their newsletter.

Read the entire NDC Q&A resource

Captions – automatic, closed captions, real-time, transcription: What do these all mean?

Automatic captions – Also referred to as speech-recognition, automated captioning, or auto-captions, are generated by a computer with Automatic Speech Recognition (ASR) technology. These captions tend to lack punctuation, speaker identification, and require a human to fix mistakes.

Many platforms include this feature, such as:

  • Video streaming platforms (i.e. YouTube automated captions or Microsoft PowerPoint Translator)
  • Apps (i.e., Translate or Otter.ai)
  • Learning Management Systems (i.e., Blackboard, Canvas)
  • Live video streaming services (i.e., Zoom, Google Meet)

Captions – Also referred to as open/closed captions or subtitles. These are captions for pre-recorded video content that are time-synced and embedded into the media. Accurate and edited captions provide equivalent access. Captions also provide auditory information that ASR technology may not be able to identify.

Real-time captioning – Also referred to as live captioning or speech-to-text services.  This service is provided by a qualified speech-to-text professional.  Examples: Live captioning for news broadcasts or by a third-party vendor streamed into Blackboard for a synchronous online class.

Transcribe/Transcription – Also referred to as a transcript. This process involves converting audio into a plain text document. Transcripts are commonly used for stand-alone audio, such as podcasts or presentations without video. They are also used as the first step towards creating captions for media. Transcripts can be auto-generated using ASR or by speech-to-text professionals.