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  2. Transcription (service) - Wikipedia

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

    The industry standard for transcribing an audio file takes one hour for every 15 minutes of audio. [citation needed] For live usage, real-time text transcription services are available for captioning purposes, including Remote CART, Captioned Telephone, and live closed captioning for live broadcasts. Live transcripts are less accurate than ...

  3. 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.

  4. List of speech recognition software - Wikipedia

    en.wikipedia.org/wiki/List_of_speech_recognition...

    Transcription from recorded text; acquired by Nuance: iListen ... From £0.06 per minute of audio: ... Create speech commands to open files, folders, webpages ...

  5. 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.

  6. 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]

  7. Whisper (speech recognition system) - Wikipedia

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

    For the files still remaining after the filtering process, audio files were then broken into 30-second segments paired with the subset of the transcript that occurs within that time. If this predicted spoken language differed from the language of the text transcript associated with the audio, that audio-transcript pair was not used for training ...

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