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PaddleSpeech/examples/aishell/asr0/local/test.sh

66 lines
1.7 KiB

#!/bin/bash
if [ $# != 4 ];then
echo "usage: ${0} config_path decode_config_path ckpt_path_prefix model_type"
exit -1
fi
stage=0
stop_stage=100
ngpu=$(echo $CUDA_VISIBLE_DEVICES | awk -F "," '{print NF}')
echo "using $ngpu gpus..."
config_path=$1
decode_config_path=$2
ckpt_prefix=$3
model_type=$4
# download language model
bash local/download_lm_ch.sh
if [ $? -ne 0 ]; then
exit 1
fi
if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
# format the reference test file
python utils/format_rsl.py \
--origin_ref data/manifest.test.raw \
--trans_ref data/manifest.test.text
python3 -u ${BIN_DIR}/test.py \
--ngpu ${ngpu} \
--config ${config_path} \
--decode_cfg ${decode_config_path} \
--result_file ${ckpt_prefix}.rsl \
--checkpoint_path ${ckpt_prefix} \
--model_type ${model_type}
if [ $? -ne 0 ]; then
echo "Failed in evaluation!"
exit 1
fi
# format the hyp file
python utils/format_rsl.py \
--origin_hyp ${ckpt_prefix}.rsl \
--trans_hyp ${ckpt_prefix}.rsl.text
python utils/compute-wer.py --char=1 --v=1 \
data/manifest.test.text ${ckpt_prefix}.rsl.text > ${ckpt_prefix}.error
fi
if [ ${stage} -le 101 ] && [ ${stop_stage} -ge 101 ]; then
python utils/format_rsl.py \
--origin_ref data/manifest.test.raw \
--trans_ref_sclite data/manifest.test.text.sclite
python utils/format_rsl.py \
--origin_hyp ${ckpt_prefix}.rsl \
--trans_hyp_sclite ${ckpt_prefix}.rsl.text.sclite
mkdir -p ${ckpt_prefix}_sclite
sclite -i wsj -r data/manifest.test.text.sclite -h ${ckpt_prefix}.rsl.text.sclite -e utf-8 -o all -O ${ckpt_prefix}_sclite -c NOASCII
fi
exit 0