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LAAC-LSCP
/
Unsupervised_Metrics_CLD_Sy
DOI
10.12751/g-node.8f4ytn
9
0
Forka 1
File Problemi 0 Pull Requests 0 Wiki
Albero (Tree): 202ad44f37
Rami (Branch) Tag
Unsupervised...
/
code
yaya-sy 202ad44f37 importing conda environment 1 anno fa
..
__pycache__ 202ad44f37 importing conda environment 1 anno fa
.gitattributes 2702adb24e Apply YODA dataset setup 2 anni fa
README.md 2702adb24e Apply YODA dataset setup 2 anni fa
download_childes_corpora.py 202ad44f37 importing conda environment 1 anno fa
download_opensubtitles_corpora.py 202ad44f37 importing conda environment 1 anno fa
evaluate_language_models.py 202ad44f37 importing conda environment 1 anno fa
get_most_probable_phonemes.py f77b7928d2 add training and testing scripts 1 anno fa
make_noiser.py 202ad44f37 importing conda environment 1 anno fa
one_utterance_per_line_to_json.py cfd557e007 add script that convert one_utterance_per_line files to json files 2 anni fa
test_on_all_languages.py 202ad44f37 importing conda environment 1 anno fa
train_language_models.sh 7ac48a81ab update readme 1 anno fa
utterances_cleaner.py e4d54bd35e add script for downloading corpora from childes database 2 anni fa

README.md

All custom code goes into this directory. All scripts should be written such that they can be executed from the root of the dataset, and are only using relative paths for portability.