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--- |
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license: apache-2.0 |
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language: |
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- zh |
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- aa |
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- af |
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metrics: |
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- accuracy |
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library_name: diffusers |
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pipeline_tag: text-to-image |
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tags: |
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- medical |
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- code |
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- suibian |
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--- |
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# Whisper |
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Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation. Trained on 680k hours |
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of labelled data, Whisper models demonstrate a strong ability to generalise to many datasets and domains **without** the need |
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for fine-tuning. |
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Whisper was proposed in the paper [Robust Speech Recognition via Large-Scale Weak Supervision](https://arxiv.org/abs/2212.04356) |
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by Alec Radford et al. from OpenAI. The original code repository can be found [here](https://github.com/openai/whisper). |
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Whisper `large-v3` has the same architecture as the previous large models except the following minor differences: |
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1. The input uses 128 Mel frequency bins instead of 80 |
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2. A new language token for Cantonese |
