Uyghur Automatic Speech Recognition
Uyghur ASR using CTC loss trained with THUYG20 dataset It achieves the following results on the evaluation set:
- Best CER: 7.21%
Reference: https://github.com/gheyret/uyghur-asr-ctc
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 20
- eval_batch_size: 20
- seed: 42
- optimizer: Adam with weight_decay=0.000001
Training results
Best CER: 7.21% Trained: 473 epochs The model has 26,389,282 trainable parameters
Evaluation results
- Cer on THUGY20: A free Uyghur speech databaseself-reported7.210