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@ -9,6 +9,24 @@ unzip results.7z and thuyg20_data.7z to the same folder where python source file
python train.py python train.py
``` ```
Recognition:
for recognition download only pretrained model(results.7z). then run:
```
python tonu.py test1.wav
```
result will be:
```
Model loaded: results/UModel_last.pth
Best CER: 7.21%
Trained: 473 epochs
The model has 26,389,282 trainable parameters
======================
Recognizing file .\test2.wav
test2.wav -> bu öy eslide xotunining xush tebessumi oghlining omaq külküsi bilen güzel idi
```
This project using This project using
A free Uyghur speech database Released by CSLT@Tsinghua University & Xinjiang University(http://www.openslr.org/22/) A free Uyghur speech database Released by CSLT@Tsinghua University & Xinjiang University(http://www.openslr.org/22/)