openai/openai/whisper-large-v3-turbo
模型介绍
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openai/whisper-large-v3-turbo
Whisper 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-shot setting. Whisper large-v3-turbo is a finetuned version of a pruned Whisper large-v3. In other words, it’s the exact same model, except that the number of decoding layers have reduced from 32 to 4. As a result, the model is way faster, at the expense of a minor quality degradation.
- 上下文长度：未知
- 最大输出：未知
- 标签：stt
- 提供方：openai
- 来源：DeepInfra
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评测
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