Speech Recognition for Uyghur using deep learning
assets | ||
test | ||
.gitignore | ||
commonvoice.py | ||
data.py | ||
README.md | ||
requirements.txt | ||
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.