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This is a costomized version of pytorch-kaldi that takes forward-looking on language model weight out with some other features. See mravanelli/pytorch-kaldi for more info.

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pytorch-kaldi with custom DNN layer

This repository was forked from mravanelli/pytorch-kaldi. Make sure you have read the readme file of the original pytorch-kaldi repository before you work with this one.

Introduction:

This repository adds some custom DNN layers on the original pytorch-kaldi and uses the weight of language model which is from the dev data set that has the lowest WER. The original repository uses the lanugage model weight which is from the test set that has lowest WER.

Prerequisites & How to run:

Check the readme file in the original reposiotry. The code has been modified to support python 3.

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This is a costomized version of pytorch-kaldi that takes forward-looking on language model weight out with some other features. See mravanelli/pytorch-kaldi for more info.

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  • Perl 47.6%
  • Shell 34.5%
  • Python 17.9%