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  2. Otter.ai - Wikipedia

    en.wikipedia.org/wiki/Otter.ai

    Otter.ai was founded as AISense in 2016 by Sam Liang and Yun Fu, two computer science engineers with a long history of working with artificial intelligence. [ 2 ] [ 3 ] In January 2018, the company announced a partnership with Zoom Video Communications to transcribe video meetings post-conference. [ 4 ]

  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. 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.

  5. Braina - Wikipedia

    en.wikipedia.org/wiki/Braina

    Braina is a virtual assistant [1] [2] and speech-to-text dictation [3] application for Microsoft Windows developed by Brainasoft. [4] Braina uses natural language interface, [5] speech synthesis, and speech recognition technology [6] to interact with its users and allows them to use natural language sentences to perform various tasks on a computer.

  6. 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.

  7. List of datasets in computer vision and image processing

    en.wikipedia.org/wiki/List_of_datasets_in...

    This multispectral data set includes terahertz, thermal, visual, near infrared, and three-dimensional videos of objects hidden under people's clothes. 3D lookup tables are provided that allow you to project images onto 3D point clouds. More than 20 videos. The duration of each video is about 85 seconds (about 345 frames). AP2J

  8. Live Transcribe - Wikipedia

    en.wikipedia.org/wiki/Live_Transcribe

    Live Transcribe is a smartphone application to get realtime captions developed by Google for the Android operating system. Development on the application began in partnership with Gallaudet University. [2] It was publicly released as a free beta for Android 5.0+ on the Google Play Store on February 4, 2019. [3]

  9. Common Voice - Wikipedia

    en.wikipedia.org/wiki/Common_Voice

    In total, this included almost 1,400 hours of recorded voice data from more than 42,000 contributors. [5] As of July 2020 the database has amassed 7,226 hours of voice recordings in 54 languages, 5,591 hours of which has been verified by volunteers. [6] In May 2021, following the work to add Kinyarwanda, they received a grant to add Kiswahili. [7]

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