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This model is finetuned on LibriSpeech 960h using a pretrained Hubert-L (https://arxiv.org/abs/2106.07447) published by fairseq. <br>
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The model is trained with pruned RNN-T loss (https://arxiv.org/abs/2206.13236). The WERs are **1.93/3.93** on test-clean/other.
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This model is finetuned on LibriSpeech 960h using a pretrained Hubert-L (https://arxiv.org/abs/2106.07447) published by fairseq. <br><br>
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The model is trained with pruned RNN-T loss (https://arxiv.org/abs/2206.13236). The WERs are **1.93/3.93** on test-clean/other.
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