#!/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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ori_data=
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data_dir=
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exp_dir=
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model_name=speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
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model_revision="v1.0.4" # please do not modify the model revision
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inference_nj=32
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gpuid_list="0" # set gpus, e.g., gpuid_list="0,1"
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ngpu=$(echo $gpuid_list | awk -F "," '{print NF}')
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njob=1 # the number of jobs for each gpu
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gpu_inference=true # Whether to perform gpu decoding, set false for cpu decoding
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if ${gpu_inference}; then
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inference_nj=$[${ngpu}*${njob}]
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else
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inference_nj=$njob
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fi
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# LM configs
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use_lm=false
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beam_size=1
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lm_weight=0.0
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test_sets="dev_ios test_android test_ios test_mic"
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. utils/parse_options.sh
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for x in Android iOS Mic; do
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local/aishell2_data_prep.sh ${ori_data}/${x}/dev ${data_dir}/aishell2/local/dev_${x,,} ${data_dir}/aishell2/dev_${x,,} || exit 1;
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local/aishell2_data_prep.sh ${ori_data}/${x}/test ${data_dir}/aishell2/local/test_${x,,} ${data_dir}/aishell2/test_${x,,} || exit 1;
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done
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for x in dev_android dev_ios dev_mic test_android test_ios test_mic; do
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mv ${data_dir}/aishell2/${x}/text ${data_dir}/aishell2/${x}/text.org
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paste -d " " <(cut -f 1 ${data_dir}/aishell2/${x}/text.org) <(cut -f 2- ${data_dir}/aishell2/${x}/text.org \
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| tr 'A-Z' 'a-z' | tr -d " ") \
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> ${data_dir}/aishell2/${x}/text
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rm ${data_dir}/aishell2/${x}/text.org
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done
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mkdir -p ${exp_dir}/aishell2
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modelscope_utils/modelscope_infer.sh \
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--data_dir ${data_dir}/aishell2 \
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--exp_dir ${exp_dir}/aishell2 \
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--test_sets "${test_sets}" \
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--model_name ${model_name} \
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--model_revision ${model_revision} \
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--inference_nj ${inference_nj} \
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--gpuid_list ${gpuid_list} \
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--njob ${njob} \
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--gpu_inference ${gpu_inference} \
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--use_lm ${use_lm} \
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--beam_size ${beam_size} \
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--lm_weight ${lm_weight}
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