Speech Recognition for Uyghur using deep learning

Training:

this model using CTC loss for training.

Download pretrained model and dataset from https://github.com/gheyret/uyghur-asr-ctc/releases. unzip results.7z and thuyg20_data.7z to the same folder where python source files located. then run:

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

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Recognizing file .\test2.wav
test2.wav -> bu öy eslide xotunining xush tebessumi oghlining omaq külküsi bilen güzel idi

This project using

**A free Uyghur speech database Released by CSLT@Tsinghua University & Xinjiang University(http://www.openslr.org/22/)

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Speech Recognition for Uyghur using deep learning

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