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Update results for transducer_stateless after training for more epochs. (#207)

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Fangjun Kuang 2022-03-01 16:35:02 +08:00 committed by GitHub
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2
README.md
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@ -84,7 +84,7 @@ The best WER using modified beam search with beam size 4 is:
| | test-clean | test-other |
|-----|------------|------------|
| WER | 2.67 | 6.64 |
| WER | 2.67 | 6.57 |
Note: No auxiliary losses are used in the training and no LMs are used
in the decoding.

12
egs/librispeech/ASR/RESULTS.md
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@ -61,10 +61,10 @@ The WERs are
| | test-clean | test-other | comment |
|-------------------------------------|------------|------------|------------------------------------------|
| greedy search (max sym per frame 1) | 2.68 | 6.71 | --epoch 61, --avg 18, --max-duration 100 |
| greedy search (max sym per frame 2) | 2.69 | 6.71 | --epoch 61, --avg 18, --max-duration 100 |
| greedy search (max sym per frame 3) | 2.69 | 6.71 | --epoch 61, --avg 18, --max-duration 100 |
| modified beam search (beam size 4) | 2.67 | 6.64 | --epoch 61, --avg 18, --max-duration 100 |
| greedy search (max sym per frame 1) | 2.67 | 6.67 | --epoch 63, --avg 19, --max-duration 100 |
| greedy search (max sym per frame 2) | 2.67 | 6.67 | --epoch 63, --avg 19, --max-duration 100 |
| greedy search (max sym per frame 3) | 2.67 | 6.67 | --epoch 63, --avg 19, --max-duration 100 |
| modified beam search (beam size 4) | 2.67 | 6.57 | --epoch 63, --avg 19, --max-duration 100 |
The training command for reproducing is given below:
@ -90,8 +90,8 @@ The tensorboard training log can be found at
The decoding command is:
```
epoch=61
avg=18
epoch=63
avg=19
## greedy search
for sym in 1 2 3; do