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34 lines
1.0 KiB
34 lines
1.0 KiB
2 years ago
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#!/bin/bash
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set -e
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. path.sh
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data=data
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exp=exp
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nj=20
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mkdir -p $exp
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ckpt_dir=./data/model
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model_dir=$ckpt_dir/asr1_chunk_conformer_u2pp_wenetspeech_static_1.1.0.model/
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aishell_wav_scp=aishell_test.scp
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./local/split_data.sh $data $data/$aishell_wav_scp $aishell_wav_scp $nj
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utils/run.pl JOB=1:$nj $data/split${nj}/JOB/recognizer.log \
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u2_recognizer_main \
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--use_fbank=true \
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--num_bins=80 \
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--cmvn_file=$exp/cmvn.ark \
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--model_path=$model_dir/export.jit \
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--vocab_path=$model_dir/unit.txt \
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--nnet_decoder_chunk=16 \
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--receptive_field_length=7 \
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--subsampling_rate=4 \
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--wav_rspecifier=scp:$data/split${nj}/JOB/${aishell_wav_scp} \
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--result_wspecifier=ark,t:$data/split${nj}/JOB/result_recognizer.ark
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cat $data/split${nj}/*/result_recognizer.ark > $exp/${label_file}_recognizer
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utils/compute-wer.py --char=1 --v=1 $text $exp/${label_file}_recognizer > $exp/${wer}.recognizer
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echo "recognizer test have finished!!!"
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echo "please checkout in ${exp}/${wer}.recognizer"
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tail -n 7 $exp/${wer}.recognizer
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