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  2. 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]

  3. 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]

  4. Transcription software - Wikipedia

    en.wikipedia.org/wiki/Transcription_software

    Transcription software assists in the conversion of human speech into a text transcript. Audio or video files can be transcribed manually or automatically. [ 1 ] Transcriptionists can replay a recording several times in a transcription editor and type what they hear.

  5. ELAN software - Wikipedia

    en.wikipedia.org/wiki/ELAN_software

    ELAN is computer software, a professional tool to manually and semi-automatically annotate and transcribe audio or video recordings. [2] It has a tier-based data model that supports multi-level, multi-participant annotation of time-based media.

  6. 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]

  7. Automated medical scribe - Wikipedia

    en.wikipedia.org/wiki/Automated_medical_scribe

    The privacy protections of automated medical scribes vary widely. While it is possible to do all the transcription and summarizing locally, with no connection to the internet, most closed-source providers require that data be sent to their own servers over the internet, processed there, and the results sent back (as with digital voice assistants).

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