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  2. 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 ]

  3. List of speech recognition software - Wikipedia

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

    Older generations of Nokia phones like Nokia N Series (before using Windows 7 mobile technology) used speech-recognition with family names from contact list and a few commands. Siri , originally implemented in the iPhone 4S , Apple's personal assistant for iOS , which uses technology from Nuance Communications .

  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.

  5. OpenAI - Wikipedia

    en.wikipedia.org/wiki/OpenAI

    The app supports chat history syncing and voice input (using Whisper, OpenAI's speech recognition model). [242] [241] [243] In September 2023, OpenAI announced that ChatGPT "can now see, hear, and speak". ChatGPT Plus users can upload images, while mobile app users can talk to the chatbot. [244] [245]

  6. Voice activity detection - Wikipedia

    en.wikipedia.org/wiki/Voice_activity_detection

    Voice activity detection (VAD), also known as speech activity detection or speech detection, is the detection of the presence or absence of human speech, used in speech processing. [1] The main uses of VAD are in speaker diarization , speech coding and speech recognition . [ 2 ]

  7. LangChain - Wikipedia

    en.wikipedia.org/wiki/LangChain

    LangChain was launched in October 2022 as an open source project by Harrison Chase, while working at machine learning startup Robust Intelligence. The project quickly garnered popularity, [3] with improvements from hundreds of contributors on GitHub, trending discussions on Twitter, lively activity on the project's Discord server, many YouTube tutorials, and meetups in San Francisco and London.

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