add sclite test for text_frontend
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@ -1,14 +1,37 @@
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#!/bin/bash
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#!/bin/bash
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USE_SCLITE=true
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if [ "$USE_SCLITE" = true ];then
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if [ ! -d "./SCTK" ];then
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echo "Clone SCTK ..."
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git clone https://github.com/usnistgov/SCTK
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echo "Clone SCTK done!"
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fi
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if [ ! -d "./SCTK/bin" ];then
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echo "Start make SCTK ..."
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pushd SCTK && make config && make all && make check && make install && make doc && popd
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echo "SCTK make done!"
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fi
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fi
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# test g2p
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# test g2p
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echo "Start get g2p test data."
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echo "Start get g2p test data ..."
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python3 get_g2p_data.py --root-dir=~/datasets/BZNSYP --output-dir=data/g2p
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python3 get_g2p_data.py --root-dir=~/datasets/BZNSYP --output-dir=data/g2p
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echo "Start test g2p."
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echo "Start test g2p ..."
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python3 test_g2p.py --input-dir=data/g2p --output-dir=exp/g2p
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python3 test_g2p.py --input-dir=data/g2p --output-dir=exp/g2p
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# test text normalization
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# test text normalization
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echo "Start get text normalization test data."
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echo "Start get text normalization test data ..."
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python3 get_textnorm_data.py --test-file=data/textnorm_test_cases.txt --output-dir=data/textnorm
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python3 get_textnorm_data.py --test-file=data/textnorm_test_cases.txt --output-dir=data/textnorm
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echo "Start test text normalization."
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echo "Start test text normalization ..."
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python3 test_textnorm.py --input-dir=data/textnorm --output-dir=exp/textnorm
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python3 test_textnorm.py --input-dir=data/textnorm --output-dir=exp/textnorm
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# whether use sclite to get more detail information of WER
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if [ "$USE_SCLITE" = true ];then
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echo "Start sclite g2p ..."
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./SCTK/bin/sclite -i wsj -r ./exp/g2p/text.ref.clean -h ./exp/g2p/text.g2p -e utf-8 -o all
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echo
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echo "Start sclite textnorm ..."
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./SCTK/bin/sclite -i wsj -r ./exp/textnorm/text.ref.clean -h ./exp/textnorm/text.tn -e utf-8 -o all
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fi
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@ -47,8 +47,8 @@ def get_avg_wer(raw_dict, ref_dict, frontend, output_dir):
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gt_phones = [phn for phn in gt_phones if phn not in SILENCE_TOKENS]
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gt_phones = [phn for phn in gt_phones if phn not in SILENCE_TOKENS]
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gt_phones = " ".join(gt_phones)
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gt_phones = " ".join(gt_phones)
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g2p_phones = " ".join(g2p_phones)
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g2p_phones = " ".join(g2p_phones)
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wf_ref.write(utt_id + " " + gt_phones + "\n")
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wf_ref.write(gt_phones + "(baker_" + utt_id + ")" + "\n")
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wf_g2p.write(utt_id + " " + g2p_phones + "\n")
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wf_g2p.write(g2p_phones + "(baker_" + utt_id + ")" + "\n")
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edit_distance, ref_len = word_errors(gt_phones, g2p_phones)
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edit_distance, ref_len = word_errors(gt_phones, g2p_phones)
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edit_distances.append(edit_distance)
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edit_distances.append(edit_distance)
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ref_lens.append(ref_len)
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ref_lens.append(ref_len)
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@ -43,8 +43,8 @@ def get_avg_cer(raw_dict, ref_dict, text_normalizer, output_dir):
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gt_text = del_en_add_space(gt_text)
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gt_text = del_en_add_space(gt_text)
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textnorm_text = del_en_add_space(textnorm_text)
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textnorm_text = del_en_add_space(textnorm_text)
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wf_ref.write(text_id + " " + gt_text + "\n")
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wf_ref.write(gt_text + "(" + text_id + ")" + "\n")
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wf_tn.write(text_id + " " + textnorm_text + "\n")
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wf_tn.write(textnorm_text + "(" + text_id + ")" + "\n")
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edit_distance, ref_len = char_errors(gt_text, textnorm_text)
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edit_distance, ref_len = char_errors(gt_text, textnorm_text)
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edit_distances.append(edit_distance)
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edit_distances.append(edit_distance)
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ref_lens.append(ref_len)
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ref_lens.append(ref_len)
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