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Fangjun Kuang 2022-01-10 10:55:58 +08:00
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@ -84,12 +84,12 @@ The best WER using beam search with beam size 4 is:
| | test-clean | test-other | | | test-clean | test-other |
|-----|------------|------------| |-----|------------|------------|
| WER | 2.83 | 7.19 | | WER | 2.76 | 6.97 |
Note: No auxiliary losses are used in the training and no LMs are used Note: No auxiliary losses are used in the training and no LMs are used
in the decoding. in the decoding.
We provide a Colab notebook to run a pre-trained transducer conformer + stateless decoder model: [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1Lm37sNajIpkV4HTzMDF7sn9l0JpfmekN?usp=sharing) We provide a Colab notebook to run a pre-trained transducer conformer + stateless decoder model: [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1Rc4Is-3Yp9LbcEz_Iy8hfyenyHsyjvqE?usp=sharing)
### Aishell ### Aishell