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81 lines
2.7 KiB
81 lines
2.7 KiB
#!/bin/bash
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set -e
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source path.sh
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stage=0
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stop_stage=100
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conf_path=conf/conformer.yaml
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avg_num=20
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source ${MAIN_ROOT}/utils/parse_options.sh || exit 1;
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avg_ckpt=avg_${avg_num}
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ckpt=$(basename ${conf_path} | awk -F'.' '{print $1}')
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echo "checkpoint name ${ckpt}"
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if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
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# prepare data
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bash ./local/data.sh || exit -1
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fi
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if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
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# train model, all `ckpt` under `exp` dir
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CUDA_VISIBLE_DEVICES=0,1,2,3 ./local/train.sh ${conf_path} ${ckpt}
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fi
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if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
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# avg n best model
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avg.sh exp/${ckpt}/checkpoints ${avg_num}
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fi
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if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then
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# test ckpt avg_n
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CUDA_VISIBLE_DEVICES=0 ./local/test.sh ${conf_path} exp/${ckpt}/checkpoints/${avg_ckpt} || exit -1
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fi
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if [ ${stage} -le 4 ] && [ ${stop_stage} -ge 4 ]; then
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# ctc alignment of test data
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CUDA_VISIBLE_DEVICES=0 ./local/align.sh ${conf_path} exp/${ckpt}/checkpoints/${avg_ckpt} || exit -1
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fi
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# if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then
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# # export ckpt avg_n
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# CUDA_VISIBLE_DEVICES=0 ./local/export.sh ${conf_path} exp/${ckpt}/checkpoints/${avg_ckpt} exp/${ckpt}/checkpoints/${avg_ckpt}.jit
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# fi
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# Optionally, you can add LM and test it with runtime.
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if [ ${stage} -le 6 ] && [ ${stop_stage} -ge 6 ]; then
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# 7.1 Prepare dict
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unit_file=data/vocab.txt
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mkdir -p data/local/dict
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cp $unit_file data/local/dict/units.txt
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utils/fst/prepare_dict.py $unit_file ${data}/resource_aishell/lexicon.txt \
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data/local/dict/lexicon.txt
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# 7.2 Train lm
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lm=data/local/lm
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mkdir -p $lm
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utils/filter_scp.pl data/train/text \
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$data/data_aishell/transcript/aishell_transcript_v0.8.txt > $lm/text
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local/aishell_train_lms.sh
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# 7.3 Build decoding TLG
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utils/fst/compile_lexicon_token_fst.sh \
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data/local/dict data/local/tmp data/local/lang
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utils/fst/make_tlg.sh data/local/lm data/local/lang data/lang_test || exit 1;
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# # 7.4 Decoding with runtime
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# # reverse_weight only works for u2++ model and only left to right decoder is used when it is set to 0.0.
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# dir=exp/conformer
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# reverse_weight=0.0
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# chunk_size=-1
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# ./tools/decode.sh --nj 16 \
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# --beam 15.0 --lattice_beam 7.5 --max_active 7000 \
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# --blank_skip_thresh 0.98 --ctc_weight 0.5 --rescoring_weight 1.0 \
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# --reverse_weight $reverse_weight --chunk_size $chunk_size \
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# --fst_path data/lang_test/TLG.fst \
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# data/test/wav.scp data/test/text $dir/final.zip \
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# data/lang_test/words.txt $dir/lm_with_runtime
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# # See $dir/lm_with_runtime for wer
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fi
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