Provide a text alternative for audio/multimedia content
This feature includes transcription and gathering of text alternatives to multimedia content. This feature may be implemented in several ways:
- Automatic computerized transcription or captioning (voice-to-text) of audio, including live feeds, microphone input, and recorded media
- Retrieving existing transcripts or captions from other sources and linking them to the current media (e.g. a video of a presidential address may not be captioned, but is likely to have a transcript posted on a news website that can be presented to the user)
Discussion by Disabilities
Captions and transcripts allow people who are deaf or hard of hearing to understand the same media as their hearing peers, in real-time
- Captions and transcripts may assist with language understanding for people with cognitive, language, and learning disabilities.
- Captions can also serve as a teaching tool for people with literacy problems who are learning to read a known language.
Existing Products
Please note that these products are not necessarily endorsed by RtF, but represent the range of available options.
- Transcription - VEED
- CaptionSync – AutomaticSync
- Closed Captioning – Docsoft
- RogerVoice - RogerVoice
- CaptionSync
- Amara
- Aegisubs
- Visualsubsync
Related Research and Papers
- Inclusion of deaf students in computer science classes using real-time speech transcription – Villanova University – Kheir, R. and Way, T. (2007)
- Captioning for Deaf and Hard of Hearing People by Editing Automatic Speech Recognition in Real Time – University of Southampton – Wald, Mike (2006)
- Creating accessible educational multimedia through editing automatic speech recognition captioning in real time- Mike Wald
- The Effects of Captions on Deaf Students’ Content Comprehension, Cognitive Load, and Motivation in Online Learning- Joong-O Yoon and Minjeong Kim
- Designing Software that is Accessible to Individuals with Disabilities
- Improving Screencast Accessibility for People With Disabilities: Guidelines and Techniques- Joanne Oud
- Captioning for Deaf and Hard of Hearing People by Editing Automatic Speech Recognition in Real Time- Mike Wald
Subtitled and captioned videos
Related content in the DeveloperSpace
- Veed
- Making Images Accessible (Alt text and more)
- Video Content and Learning
- Audio Content and Learning
- YouTubeVTTLinesSeparator
- on-demand-live-region
- lachesis
- vtt-creator
- speechrecognition
- SpeechRecognition
- DeepSpeech
- vtt-to-json
- vtt-to-srt.py
- srt2vtt
- elex-webVideoTextCrawler
- subtitle
- vtt-to-srt
- react-a11y-video
- controllable-crowd-caption-correction
- srt-to-vtt
- vtt-json
- accessible-html5-video-player
- srt2vtt
- speech-language-processing
- cc_decoder
- CastClosedCaptioning-chrome
- srt-to-vtt-cl
- ableplayer
- node-vtt
- arib
- vtt.js
- Captioneer
- WebVTT-with-regions
- opened-captions
- jquery-vttbuilder
- telxcc
- Captionator
- videoPlayer