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

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Evaluation results