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kaldi

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r9y9
r9y9 commented Jun 18, 2019

Current documentation in README explains how to install the toolkit and how to run examples. However, I don't think this is enough for users who want to make some changes to the existing recipes or make their own new recipe. In that case, one needs to understand what run.sh does step by step, but I think docs for that are missing at the moment. It would be great if we provide documentation for:

pytorch-kaldi

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

  • Updated May 21, 2020
  • Python
jiangshizong
jiangshizong commented Nov 4, 2019

I tried using the pretrained french acoustic model (trained on GP using GP dictionary), but got error messages about not finding the pretrained model.

The MFA documentation page (https://montreal-forced-aligner.readthedocs.io/en/latest/aligning.html#align-using-pretrained-models) says that the pretrained model should be under pretrained_models folder and shouldn't add the .zip suffix as an argu

rpdrewes
rpdrewes commented Apr 16, 2020

The README.md file says to run the following command:

find /media/kaldi_models/ -type f | xargs sed -i 's:test:/opt:g'

The intent seems to be to change paths in ivector_extractor.conf and online_nnet2_decoding.conf from test/models/... to /opt/models/... where they will work with the docker image. However, that command also changes all instances of "test" in the wordlist words.txt! So for

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