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  2. This AI can transcribe recorded and live speech into text ...

    www.aol.com/news/ai-transcribe-recorded-live...

    TL;DR: As of March 4, a lifetime subscription to Voicetapp Speech to Text Transcription is on sale for $59 — that's over 90% in savings.Transcribing audio is one of those tasks that is tedious ...

  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

    Transcription software, as with transcription services, is often used for business, legal, or medical purposes. [2] Compared with audio content, a text transcript is searchable, takes up less computer memory, and can be used as an alternate method of communication, such as for subtitles and closed captions.

  5. Transcription (service) - Wikipedia

    en.wikipedia.org/wiki/Transcription_(service)

    A transcription service is a business service that converts speech (either live or recorded) into a written or electronic text document. Transcription services are often provided for business, legal, or medical purposes. The most common type of transcription is from a spoken-language source into text.

  6. Dictation machine - Wikipedia

    en.wikipedia.org/wiki/Dictation_machine

    In the 1990s, improvements in voice recognition technology began to allow computers to transcribe recorded audio dictation into text form, a task that previously required human secretaries or transcribers. The files generated with digital recorders vary in size, depending on the manufacturer and the format the user chooses.

  7. Automated medical scribe - Wikipedia

    en.wikipedia.org/wiki/Automated_medical_scribe

    Like other LLMs, medical-scribe LLMs are prone to confabulation, where they make up content based on statistically associations between their training data and the transcription audio. [3] LLMs do not distinguish between trying to transcribe the audio and guessing what words will come next, but perform both processes mixed together. [18]

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