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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. OpenAI Whisper - Converting Speech to Text - GeeksforGeeks

    Jul 23, 2025 · This article delves into the world of Whisper, offering a comprehensive guide on how to harness its capabilities for audio transcription in Python, all without the need for …

  6. openai/whisper-large-v3 · Hugging Face

    Whisper is a Transformer based encoder-decoder model, also referred to as a sequence-to-sequence model. There are two flavours of Whisper model: English-only and multilingual.

  7. superwhisper

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

  8. 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 …

  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, …