#!/usr/bin/env bash
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set -e
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set -u
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set -o pipefail
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stage=1
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stop_stage=3
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model="NPU-ASLP/speech_mfcca_asr-zh-cn-16k-alimeeting-vocab4950"
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data_dir="./data/test"
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output_dir="./results_pl_gpu"
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batch_size=1
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gpu_inference=true # whether to perform gpu decoding
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gpuid_list="3,4" # set gpus, e.g., gpuid_list="0,1"
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njob=4 # the number of jobs for CPU decoding, if gpu_inference=false, use CPU decoding, please set njob
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. utils/parse_options.sh || exit 1;
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if ${gpu_inference} == "true"; then
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nj=$(echo $gpuid_list | awk -F "," '{print NF}')
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else
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nj=$njob
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batch_size=1
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gpuid_list=""
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for JOB in $(seq ${nj}); do
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gpuid_list=$gpuid_list"-1,"
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done
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fi
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mkdir -p $output_dir/split
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split_scps=""
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for JOB in $(seq ${nj}); do
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split_scps="$split_scps $output_dir/split/wav.$JOB.scp"
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done
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perl utils/split_scp.pl ${data_dir}/wav.scp ${split_scps}
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if [ $stage -le 1 ] && [ $stop_stage -ge 1 ];then
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echo "Decoding ..."
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gpuid_list_array=(${gpuid_list//,/ })
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./utils/run.pl JOB=1:${nj} ${output_dir}/log/infer.JOB.log \
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python infer.py \
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--model ${model} \
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--audio_in ${output_dir}/split/wav.JOB.scp \
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--output_dir ${output_dir}/output.JOB \
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--batch_size ${batch_size} \
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--gpuid ${gpuid_list_array[JOB-1]}
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mkdir -p ${output_dir}/1best_recog
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for f in token score text; do
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if [ -f "${output_dir}/output.1/1best_recog/${f}" ]; then
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for i in $(seq "${nj}"); do
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cat "${output_dir}/output.${i}/1best_recog/${f}"
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done | sort -k1 >"${output_dir}/1best_recog/${f}"
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fi
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done
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fi
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if [ $stage -le 2 ] && [ $stop_stage -ge 2 ];then
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echo "Computing WER ..."
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cp ${output_dir}/1best_recog/token ${output_dir}/1best_recog/text.proc
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cp ${data_dir}/text ${output_dir}/1best_recog/text.ref
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sed -e 's/src//g' ${output_dir}/1best_recog/text.proc | sed -e 's/ \+/ /g' > ${output_dir}/1best_recog/text_nosp.proc
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sed -e 's/src//g' ${output_dir}/1best_recog/text.ref | sed -e 's/ \+/ /g' > ${output_dir}/1best_recog/text_nosp.ref
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python utils/compute_wer.py ${output_dir}/1best_recog/text.ref ${output_dir}/1best_recog/text.proc ${output_dir}/1best_recog/text.sp.cer
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tail -n 3 ${output_dir}/1best_recog/text.sp.cer
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python utils/compute_wer.py ${output_dir}/1best_recog/text_nosp.ref ${output_dir}/1best_recog/text_nosp.proc ${output_dir}/1best_recog/text.nosp.cer
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tail -n 3 ${output_dir}/1best_recog/text.nosp.cer
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fi
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