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2. Live Transcribe - Wikipedia

   en.wikipedia.org/wiki/Live_Transcribe

   Live Transcribe is a smartphone application to get realtime captions developed by Google for the Android operating system. Development on the application began in partnership with Gallaudet University. [2] It was publicly released as a free beta for Android 5.0+ on the Google Play Store on February 4, 2019. [3]

3. Otter.ai - Wikipedia

   en.wikipedia.org/wiki/Otter.ai

   Otter.ai, Inc. is an American transcription software company based in Mountain View, California. The company develops speech to text transcription applications using artificial intelligence and machine learning. Its software, called Otter, shows captions for live speakers, and generates written transcriptions of speech. [1]

4. Transcription software - Wikipedia

   en.wikipedia.org/wiki/Transcription_software

   Research at Google released a free android app Google Live Transcribe, it runs on Google Cloud. [3] [4] Google Chrome developed and has an available built in English Live Caption. [5] Google Docs, Google Translate, Google Assistant, GBoard Google Text to Speech engine support transcription tool too. [6] [7] [8] [9]

5. Real-time transcription - Wikipedia

   en.wikipedia.org/wiki/Real-time_transcription

   Real-time transcription is the general term for transcription by court reporters using real-time text technologies to deliver computer text screens within a few seconds of the words being spoken. Specialist software allows participants in court hearings or depositions to make notes in the text and highlight portions for future reference.

6. AOL Video - Serving the best video content from AOL and ...

   www.aol.com/video

   The AOL.com video experience serves up the best video content from AOL and around the web, curating informative and entertaining snackable videos.

7. Google Neural Machine Translation - Wikipedia

   en.wikipedia.org/wiki/Google_Neural_Machine...

   Google Translate's NMT system uses a large artificial neural network capable of deep learning. [1] [2] [3] By using millions of examples, GNMT improves the quality of translation, [2] using broader context to deduce the most relevant translation.