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E2E Speech Recognition Toolkit with Hydra and Pytorch Lightning

Python 100.00%
conformer ctc lstm pytorch rnn speech-recognition speech-to-text toolkit transformer vietnamese-speech-recognition

asr-toolkit's Introduction

ASR E2E Toolkit

Encoder output

  • Input: inputs, input_lengths
  • Output: outputs, output_lengths

Decoder:

  • Input: targets, target_lengths, encoder_outputs (optional)

  • Output: decoder_outputs

  • Nếu có encoder_outputs thì mới sử dụng attention

Với mỗi lớp encoderdecoder thì đều phải có tham số output_dim

References

Variable

set HYDRA_FULL_ERROR=1

Run

  • python main.py -cp conf -cn configs

Training Template

Install package

conda create -n train_env -c pytorch-nightly -c nvidia -c pytorch -c conda-forge python=3.7 pytorch torchaudio cudatoolkit pandas numpy

asr-toolkit's People

Contributors

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Forkers

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