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  2. 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.

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  5. Speechify - Wikipedia

    en.wikipedia.org/wiki/Speechify

    Speechify is a mobile, chrome extension and desktop app that reads text aloud using a computer-generated text to speech voice. [1] [2] [3]The app also uses optical character recognition technology to turn physical books or printed text into audio which can be played in your own voice or in that of a celebrity.

  6. 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]

  7. Dragon NaturallySpeaking - Wikipedia

    en.wikipedia.org/wiki/Dragon_NaturallySpeaking

    Dragon NaturallySpeaking uses a minimal user interface. As an example, dictated words appear in a floating tooltip as they are spoken (though there is an option to suppress this display to increase speed), and when the speaker pauses, the program transcribes the words into the active window at the location of the cursor.

  8. 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.

  9. Otter.ai - Wikipedia

    en.wikipedia.org/wiki/Otter.ai

    To develop its speech transcription technology, the company says it combined deep machine learning using millions of hours of audio recordings, which were analyzed to train the software and improve the transcription capabilities. The company says that it uses proprietary algorithms to scour the web for these usable audio segments. [9] [10]

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