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  1. 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.

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

    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, …

  3. 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 …

  4. 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.

  5. How to Turn Audio to Text using OpenAI Whisper

    Mar 5, 2024 · Transforming audio into text is now simpler and more accurate, thanks to OpenAI’s Whisper. This article will guide you through using Whisper to convert spoken words into written …

  6. superwhisper

    Write 3x faster, without lifting a finger. superwhisper AI powered voice to text

  7. openai-whisper · PyPI

    Jun 25, 2025 · 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 …

  8. Whisper (app) - Wikipedia

    Whisper was a free proprietary mobile app. It was a form of anonymous social media, allowing users to post and share photo and video messages anonymously, [4][5] although this claim …

  9. Whispering - Wikipedia

    Whispering is an unvoiced mode of phonation in which the vocal cords are abducted so that they do not vibrate; air passes between the arytenoid cartilages to create audible turbulence during …

  10. whisper/README.md at main · openai/whisper · GitHub

    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, …