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  1. WHISPER Definition & Meaning - Merriam-Webster

    The meaning of WHISPER is to speak softly with little or no vibration of the vocal cords especially to avoid being overheard. How to use whisper in a sentence.

  2. whisper - Wiktionary, the free dictionary

    Dec 20, 2025 · whisper (plural whispers) The act of speaking in a quiet voice, especially without vibration of the vocal cords. quotations

  3. WHISPER | definition in the Cambridge English Dictionary

    WHISPER meaning: 1. to speak very quietly, using the breath but not the voice, so that only the person close to you…. Learn more.

  4. Whisper Definition & Meaning | Britannica Dictionary

    WHISPER meaning: 1 : to speak very softly or quietly; 2 : to produce a quiet sound

  5. whisper - WordReference.com Dictionary of English

    whis•per /ˈhwɪspɚ, ˈwɪspɚ/ v. to speak or say with soft, quiet, hushed sounds, esp. with little or no vibration of the vocal cords: [no object] He whispered softly in her ear. [~ + object] She whispered a …

  6. whisper noun - Definition, pictures, pronunciation and usage notes ...

    Definition of whisper noun in Oxford Advanced Learner's Dictionary. Meaning, pronunciation, picture, example sentences, grammar, usage notes, synonyms and more.

  7. WHISPER | English meaning - Cambridge Dictionary

    WHISPER definition: 1. to speak very quietly, using the breath but not the voice, so that only the person close to you…. Learn more.

  8. Whisper (speech recognition system) - Wikipedia

    Whisper (speech recognition system) ... Whisper is a machine learning model for speech recognition and transcription, created by OpenAI and first released as open-source software in September 2022.

  9. Introducing Whisper - OpenAI

    Sep 21, 2022 · We’ve trained and are open-sourcing a neural net called Whisper that approaches human level robustness and accuracy on English speech recognition.

  10. GitHub - openai/whisper: Robust Speech Recognition via Large-Scale …

    Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multitasking model that can perform multilingual speech recognition, speech translation, …