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  2. Transcription software - Wikipedia

    en.wikipedia.org/wiki/Transcription_software

    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. The definition of transcription "software", as compared with transcription "service", is that the former is sufficiently automated that a user can run ...

  3. Communication access real-time translation - Wikipedia

    en.wikipedia.org/wiki/Communication_access_real...

    Speech-to-text software is used by voice writers to provide CART. CART is useful for making communication accessible to those who are deaf or hard of hearing, as realtime speech-to-text serves many with hearing loss and deafness. Captioning is mandated by the Americans with Disabilities Act (ADA) as an auxiliary aid or service. [3]

  4. 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 ...

  5. 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.

  6. Speech recognition - Wikipedia

    en.wikipedia.org/wiki/Speech_recognition

    Speech recognition is an interdisciplinary subfield of computer science and computational linguistics that develops methodologies and technologies that enable the recognition and translation of spoken language into text by computers. It is also known as automatic speech recognition (ASR), computer speech recognition or speech-to-text (STT).

  7. 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]

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