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Scripts for training command+english language models for Silvius
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local | ||
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README.txt | ||
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cmd.sh | ||
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corpus.dict | ||
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corpus.txt | ||
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g2p.model | ||
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path.sh | ||
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pronounce.sh | ||
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run6.sh | ||
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steps | ||
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utils | ||
README.txt
This project trains new dual command/English language models, intended to be used for voice coding with Silvius. It relies on Kaldi. Usage: 1. Clone kaldi (we tested git version 69cd717 but any should work). Run make in tools/, then configure and make in src. 2. Clone this repository as a subdirectory inside kaldi/egs/tedlium. 3. Put your command words into corpus.txt, separated by whitespace, as in the output of `python grammar/lm.py 1 | sort -u` from silvius frontend. You may wish to add the following words as commands: <unk> [BREATH] [COUGH] [NOISE] [SMACK] [UH] [UM] 4. Execute run6.sh. This script should take 15 minutes, once the pretrained models and data are downloaded (1.5GB). 5. If you have any non-English words, the run6.sh script will point them out and exit. Write their pronunciations in phones in corpus.dict. To generate word pronunciations automatically, try ./pronounce.sh foobar. 6. The output is in exp/tri_6a and may be imported into silvius-backend with silvius-backend/models/import.sh. Models will be about 70MB. Please join the silvius mailing list if you have any questions! https://groups.google.com/forum/#!forum/silvius