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PaddleSpeech/examples/librispeech/asr1/local/test.sh

159 lines
4.6 KiB

#!/bin/bash
set -e
expdir=exp
datadir=data
nj=32
lmtag=
recog_set="test-clean test-other dev-clean dev-other"
recog_set="test-clean"
stage=0
stop_stage=100
if [ $# != 3 ];then
echo "usage: ${0} config_path decode_config_path ckpt_path_prefix"
exit -1
fi
ngpu=$(echo $CUDA_VISIBLE_DEVICES | awk -F "," '{print NF}')
echo "using $ngpu gpus..."
config_path=$1
decode_config_path=$2
ckpt_prefix=$3
chunk_mode=false
if [[ ${config_path} =~ ^.*chunk_.*yaml$ ]];then
chunk_mode=true
fi
echo "chunk mode ${chunk_mode}"
# download language model
#bash local/download_lm_en.sh
#if [ $? -ne 0 ]; then
# exit 1
#fi
if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
# format the reference test file
python3 utils/format_rsl.py \
--origin_ref data/manifest.test-clean.raw \
--trans_ref data/manifest.test-clean.text
for type in attention; do
echo "decoding ${type}"
if [ ${chunk_mode} == true ];then
# stream decoding only support batchsize=1
batch_size=1
else
batch_size=64
fi
python3 -u ${BIN_DIR}/test.py \
--ngpu ${ngpu} \
--config ${config_path} \
--decode_cfg ${decode_config_path} \
--result_file ${ckpt_prefix}.${type}.rsl \
--checkpoint_path ${ckpt_prefix} \
--opts decode.decoding_method ${type} \
--opts decode.decode_batch_size ${batch_size}
if [ $? -ne 0 ]; then
echo "Failed in evaluation!"
exit 1
fi
python3 utils/format_rsl.py \
--origin_hyp ${ckpt_prefix}.${type}.rsl \
--trans_hyp ${ckpt_prefix}.${type}.rsl.text
python3 utils/compute-wer.py --char=1 --v=1 \
data/manifest.test-clean.text ${ckpt_prefix}.${type}.rsl.text > ${ckpt_prefix}.${type}.error
echo "decoding ${type} done."
done
for type in ctc_greedy_search; do
echo "decoding ${type}"
if [ ${chunk_mode} == true ];then
# stream decoding only support batchsize=1
batch_size=1
else
batch_size=64
fi
python3 -u ${BIN_DIR}/test.py \
--ngpu ${ngpu} \
--config ${config_path} \
--decode_cfg ${decode_config_path} \
--result_file ${ckpt_prefix}.${type}.rsl \
--checkpoint_path ${ckpt_prefix} \
--opts decode.decoding_method ${type} \
--opts decode.decode_batch_size ${batch_size}
if [ $? -ne 0 ]; then
echo "Failed in evaluation!"
exit 1
fi
python3 utils/format_rsl.py \
--origin_hyp ${ckpt_prefix}.${type}.rsl \
--trans_hyp ${ckpt_prefix}.${type}.rsl.text
python3 utils/compute-wer.py --char=1 --v=1 \
data/manifest.test-clean.text ${ckpt_prefix}.${type}.rsl.text > ${ckpt_prefix}.${type}.error
echo "decoding ${type} done."
done
for type in ctc_prefix_beam_search attention_rescoring; do
echo "decoding ${type}"
batch_size=1
python3 -u ${BIN_DIR}/test.py \
--ngpu ${ngpu} \
--config ${config_path} \
--decode_cfg ${decode_config_path} \
--result_file ${ckpt_prefix}.${type}.rsl \
--checkpoint_path ${ckpt_prefix} \
--opts decode.decoding_method ${type} \
--opts decode.decode_batch_size ${batch_size}
if [ $? -ne 0 ]; then
echo "Failed in evaluation!"
exit 1
fi
python3 utils/format_rsl.py \
--origin_hyp ${ckpt_prefix}.${type}.rsl \
--trans_hyp ${ckpt_prefix}.${type}.rsl.text
python3 utils/compute-wer.py --char=1 --v=1 \
data/manifest.test-clean.text ${ckpt_prefix}.${type}.rsl.text > ${ckpt_prefix}.${type}.error
echo "decoding ${type} done."
done
fi
if [ ${stage} -le 101 ] && [ ${stop_stage} -ge 101 ]; then
python3 utils/format_rsl.py \
--origin_ref data/manifest.test-clean.raw \
--trans_ref_sclite data/manifest.test.text-clean.sclite
output_dir=${ckpt_prefix}
for type in attention ctc_greedy_search ctc_prefix_beam_search attention_rescoring; do
python utils/format_rsl.py \
--origin_hyp ${output_dir}/${type}.rsl \
--trans_hyp_sclite ${output_dir}/${type}.rsl.text.sclite
mkdir -p ${output_dir}/${type}_sclite
sclite -i wsj -r data/manifest.test-clean.text.sclite -h ${output_dir}/${type}.rsl.text.sclite -e utf-8 -o all -O ${output_dir}/${type}_sclite -c NOASCII
done
fi
echo "Finished"
exit 0