Speech Recognition for Uyghur using deep learning
| assets | ||
| test | ||
| .gitignore | ||
| data.py | ||
| README.md | ||
| requirements.txt | ||
| thuyg20_test.csv | ||
| thuyg20_train.csv | ||
| tonu.py | ||
| train.py | ||
| UModel.py | ||
| uyghur.py | ||
Agnlash
A ASR(Automatic Speech Recognition) model for Uyghur language.
This project is forked from uyghur-asr-ctc.
The Anglash is fine-tuned on the CommonVoice dataset which contains 313 hours of data.
The original project uses A free Uyghur speech database Released by CSLT@Tsinghua University & Xinjiang University. This dataset contains 22.45 hours of data.