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35 lines
1.5 KiB
35 lines
1.5 KiB
EXP_DIR=exp
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mkdir -p $EXP_DIR
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LEXICON_NAME='canton'
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if [ ! -f "$EXP_DIR/$LEXICON_NAME.lexicon" ]; then
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echo "generating lexicon and training data..."
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python local/generate_canton_lexicon_wavlabs.py --output_lexicon "$EXP_DIR/$LEXICON_NAME.lexicon" --output_wavlabs "$EXP_DIR/$LEXICON_NAME"_wavlabs --inputs ~/datasets/Guangzhou_Cantonese_Scripted_Speech_Corpus_Daily_Use_Sentence ~/datasets/Guangzhou_Cantonese_Scripted_Speech_Corpus_in_Vehicle
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echo "lexicon and training data done"
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fi
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MFA_DOWNLOAD_DIR=local/
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if [ ! -f "$MFA_DOWNLOAD_DIR/montreal-forced-aligner_linux.tar.gz" ]; then
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echo "downloading mfa..."
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(cd $MFA_DOWNLOAD_DIR && wget https://github.com/MontrealCorpusTools/Montreal-Forced-Aligner/releases/download/v1.0.1/montreal-forced-aligner_linux.tar.gz)
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echo "download mfa done!"
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fi
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if [ ! -d "$MFA_DOWNLOAD_DIR/montreal-forced-aligner" ]; then
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echo "extracting mfa..."
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(cd $MFA_DOWNLOAD_DIR && tar xvf "montreal-forced-aligner_linux.tar.gz")
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echo "extraction done!"
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fi
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export PATH="$MFA_DOWNLOAD_DIR/montreal-forced-aligner/bin"
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if [ ! -d "$EXP_DIR/canton_alignment" ]; then
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echo "Start MFA training..."
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mfa_train_and_align "$EXP_DIR/$LEXICON_NAME"_wavlabs "$EXP_DIR/$LEXICON_NAME.lexicon" $EXP_DIR/canton_alignment -o $EXP_DIR/canton_model --clean --verbose --temp_directory $EXP_DIR/.mfa_train_and_align
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echo "training done!"
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echo "results: $EXP_DIR/canton_alignment"
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echo "model: $EXP_DIR/canton_model"
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fi
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