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  2. Translate (Apple) - Wikipedia

    en.wikipedia.org/wiki/Translate_(Apple)

    Translate is a translation app developed by Apple for their iOS and iPadOS devices. Introduced on June 22, 2020, it functions as a service for translating text sentences or speech between several languages and was officially released on September 16, 2020, along with iOS 14.

  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. 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]

  5. Transcription software - Wikipedia

    en.wikipedia.org/wiki/Transcription_software

    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. By using transcription hot keys, the manual transcription can be accelerated, the sound filtered, equalized or have the tempo adjusted when the clarity is not great.

  6. Communication access real-time translation - Wikipedia

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

    Communication access realtime translation (CART), also called open captioning or realtime stenography or simply realtime captioning, is the general name of the system that stenographers and others use to convert speech to text.

  7. Closed captioning - Wikipedia

    en.wikipedia.org/wiki/Closed_captioning

    The term closed indicates that the captions are not visible until activated by the viewer, usually via the remote control or menu option. On the other hand, the terms open, burned-in, baked on, hard-coded, or simply hard indicate that the captions are visible to all viewers as they are embedded in the video.

  8. Apple (AAPL) Q1 2025 Earnings Call Transcript - AOL

    www.aol.com/finance/apple-aapl-q1-2025-earnings...

    English for iPhone, iPad, and Mac, and we rolled out more features and expanded to more countries in December. Now, users can discover the benefits of these new features in the things they do ...

  9. Speech recognition - Wikipedia

    en.wikipedia.org/wiki/Speech_recognition

    Speech to text (transcription of speech into text, real time video captioning, Court reporting ) Telematics (e.g. vehicle Navigation Systems) Transcription (digital speech-to-text) Video games, with Tom Clancy's EndWar and Lifeline as working examples; Virtual assistant (e.g. Apple's Siri)

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