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2. 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]

3. Interactive transcripts - Wikipedia

   en.wikipedia.org/wiki/Interactive_Transcripts

   As the user hears the words being spoken, the matching words in the transcript are underlined or highlighted. Interactive transcripts allows users to interact with video in an entirely new way. Users can search the transcript of the video and navigate to an exact point by clicking on any word. Doing so greatly increases the retention of the ...

4. Sora (text-to-video model) - Wikipedia

   en.wikipedia.org/wiki/Sora_(text-to-video_model)

   Re-captioning is used to augment training data, by using a video-to-text model to create detailed captions on videos. [ 7 ] OpenAI trained the model using publicly available videos as well as copyrighted videos licensed for the purpose, but did not reveal the number or the exact source of the videos. [ 5 ]

5. Google Neural Machine Translation - Wikipedia

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

   The Google Brain project was established in 2011 in the "secretive Google X research lab" [12] by Google Fellow Jeff Dean, Google Researcher Greg Corrado, and Stanford University Computer Science professor Andrew Ng. [13] [14] [15] Ng's work has led to some of the biggest breakthroughs at Google and Stanford. [12]

6. Speech recognition - Wikipedia

   en.wikipedia.org/wiki/Speech_recognition

   Speech to text (transcription of speech into text, real time video captioning, Court reporting ) Telematics (e.g. vehicle Navigation Systems) Transcription (digital speech-to-text) Video games, with Tom Clancy's EndWar and Lifeline as working examples; Virtual assistant (e.g. Apple's Siri)

7. Automatic summarization - Wikipedia

   en.wikipedia.org/wiki/Automatic_summarization

   Abstractive summarization methods generate new text that did not exist in the original text. [12] This has been applied mainly for text. Abstractive methods build an internal semantic representation of the original content (often called a language model), and then use this representation to create a summary that is closer to what a human might express.