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2. Whisper (speech recognition system) - Wikipedia

   en.wikipedia.org/wiki/Whisper_(speech...

   Whisper is a machine learning model for speech recognition and transcription, created by OpenAI and first released as open-source software in September 2022. [2]It is capable of transcribing speech in English and several other languages, and is also capable of translating several non-English languages into English. [1]

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. OpenAI says it’s not using voice data or transcripts of calls ...

   www.aol.com/finance/openai-says-not-using-voice...

   The Google tool was free, unlike the dollar-plus phone companies charged on 411 services at the time. ... change course and train its AI tech with the call data in the future, the OpenAI ...

6. Interactive transcripts - Wikipedia

   en.wikipedia.org/wiki/Interactive_Transcripts

   There are two broad categories of interactive transcripts. The first, characterized by YouTube, has timings (in minutes and seconds) running down the left side of the transcript. Users click on a block of words to jump to the corresponding section in the video. The second, characterized by Ted Talks, has the transcript in a paragraph form.

7. 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 ]