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Update RESULTS.md

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jinzr 2023-11-23 16:04:07 +08:00
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@ -26,18 +26,18 @@ for method in greedy_search modified_beam_search fast_beam_search; do
./zipformer/decode.py \
--epoch 34 \
--avg 19 \
--decoding_method $method
--decoding-method $method
done
```
Word Error Rates (WERs) listed below are produced by the checkpoint of the 20th epoch using greedy search and BPE model (# tokens is 2000).
| Datasets | TAL-CSASR | TAL-CSASR |
|----------------------|-----------|-----------|
| Zipformer WER (%) | dev | test |
| greedy_search | 6.65 | 6.69 |
| modified_beam_search | 6.46 | 6.51 |
| fast_beam_search | 6.57 | 6.68 |
| Datasets | TAL-CSASR | TAL-CSASR | AiShell-2 | AiShell-2 | LibriSpeech | LibriSpeech |
|----------------------|-----------|-----------|-----------|-----------|-------------|-------------|
| Zipformer WER (%) | dev | test | dev | test | test-clean | test-other |
| greedy_search | 6.65 | 6.69 | 6.57 | 7.03 | 2.43 | 5.70 |
| modified_beam_search | 6.46 | 6.51 | 6.18 | 6.60 | 2.41 | 5.57 |
| fast_beam_search | 6.57 | 6.68 | 6.40 | 6.74 | 2.40 | 5.56 |
Pre-trained model can be found here : https://huggingface.co/zrjin/icefall-asr-zipformer-multi-zh-en-2023-11-22, which is trained on LibriSpeech 960-hour training set (with speed perturbation), TAL-CSASR training set (with speed perturbation) and AiShell-2 (w/o speed perturbation).