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Bookmark or Share- openai/whisper-large-v3 · Hugging FaceWhisper is a state-of-the-art model for automatic speech recognition (ASR) and speech translation, proposed in the paper Robust Speech Recognition via Large-Scale Weak Supervision by Alec Radford et al. from OpenAI. Trained on >5M hours of labeled data, Whisper demonstrates a strong ability to generalise to many datasets and domains in a zero ...
- Robust Speech Recognition via Large-Scale Weak Supervision - OpenAIWe call our approach Whisper2. We demonstrate models trained at this scale transfer well to existing datasets zero-shot, removing the need for any dataset-specific fine-tuning to achieve high-quality results.
- Introducing Whisper - OpenAIWhisper is an automatic speech recognition (ASR) system trained on 680,000 hours of multilingual and multitask supervised data collected from the web. We show that the use of such a large and diverse dataset leads to improved robustness to accents, background noise and technical language.
- GitHub - openai/whisper: Robust Speech Recognition via Large-Scale Weak ...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, and language identification.
- How to Turn Audio to Text using OpenAI Whisper - freeCodeCamp.orgTransforming 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 form, providing a straightforward approach for anyone looking to leverage AI for efficient transcription.
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