зеркало из https://github.com/mozilla/kaldi.git
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git-svn-id: https://svn.code.sf.net/p/kaldi/code/trunk@3285 5e6a8d80-dfce-4ca6-a32a-6e07a63d50c8 |
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README.txt |
README.txt
About the GlobalPhone corpus: This is a corpus of read sentences from the newspapers in 19 different languages recorded under varying degrees of "clean" conditions. There is roughly 15-20 hours of training data for each language, as well as DEV and EVAL sets of roughly 2 hours each. Each subdirectory of this directory contains the scripts for a sequence of experiments. Please see s5/ which is the currently recommended set of scripts. (the scripts in s1/ are deprecated.)