 Whisper  Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation. Trained on 680k hours  of labelled data, Whisper models demonstrate a strong ability to generalise to many datasets and domains **without** the need  for fine-tuning.  Whisper was proposed in the paper [Robust Speech Recognition via Large-Scale Weak Supervision](https://arxiv.org/abs/2212.04356)  by Alec Radford et al. from OpenAI. The original code repository can be found [here](https://github.com/openai/whisper).  **Disclaimer**: Content for this model card has partly been written by the Hugging Face team, and parts of it were  copied and pasted from the original model card.  