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Thanks for this wonderful library, but it would be much more intuitive for users to get started by providing some simple but clearly training process on self-defined dataset.
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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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I think the filenames in models.sh referred to on lines 4-9 should refer to kaldi-generic-en-tdnn_f-r20190609* which is downloaded on line 3.