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These codes is used by myself and not well organized yet. :-p

running pipeline

  1. prepare transcriptions
    • utils/xxx_trans.py
  2. prepare allwords.txt in dataset dir
  3. generate files used in lang
    • utils/gen_lang_files.py
  4. set path in config.py
  5. run pipeline.py to generate data
  6. run kaldi/run.sh
    • !Remember to set hmm_root and dataset
  7. run utils/visaligns.sh
    • show alignments
    • crop chars
  8. generate sample list for caffe with utils/gen_list.sh

caffe

  1. run caffe/makeds.sh
  2. train digit model
    • cd caffe
    • ./train.sh

rnnlib

  1. run rnnlib/create_nc.py in the folder with config.py

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