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PaddleSpeech/examples/other/g2p/README.md

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# G2P
For g2p, we use BZNSYP's phone label as the ground truth and we delete silence tokens in labels and predicted phones.
You should Download BZNSYP from its [Official Website](https://test.data-baker.com/data/index/source) and extract it. Assume the path to the dataset is `~/datasets/BZNSYP`.
We use `WER` as an evaluation criterion.
# Start
Run the command below to get the results of the test.
```bash
./run.sh
```
The `avg WER` of g2p is: 0.024075726733983775
```text
,--------------------------------------------------------------------.
| ./exp/g2p/text.g2p |
|--------------------------------------------------------------------|
| SPKR | # Snt # Wrd | Corr Sub Del Ins Err S.Err |
| Sum/Avg| 9996 299181 | 97.6 2.4 0.0 0.0 2.4 49.0 |
`--------------------------------------------------------------------'
```