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TF-Speech-Recognition

Experimental code for training CLDNN models using tensorflow.

Model Architecture

  • 2 Conv layers with larger filter size + 5 residual block (15 conv layers) + 5 residual LSTM

Results on LibriSpeech

  • Trained on LibriSpeech-train-clean-100
Validation-Set WER Link
Librispeech-test-clean NA NA

Training logs

  • About 30 epochs
  • The final loss approaches 45-50.

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