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#!/bin/bash set -e . path.sh data=data exp=exp nj=20 mkdir -p $exp ckpt_dir=./data/model
model_dir=$ckpt_dir/asr1_chunk_conformer_u2pp_wenetspeech_static_1.3.0.model/
utils/run.pl JOB=1:$nj $data/split${nj}/JOB/decoder.log \
ctc_prefix_beam_search_decoder_main \ --model_path=$model_dir/export.jit \ --vocab_path=$model_dir/unit.txt \ --nnet_decoder_chunk=16 \ --receptive_field_length=7 \ --subsampling_rate=4 \ --feature_rspecifier=scp:$data/split${nj}/JOB/fbank.scp \ --result_wspecifier=ark,t:$data/split${nj}/JOB/result_decode.ark cat $data/split${nj}/*/result_decode.ark > $exp/${label_file} utils/compute-wer.py --char=1 --v=1 $text $exp/${label_file} > $exp/${wer} tail -n 7 $exp/${wer}