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PaddleSpeech/examples/librispeech/asr5/local/test.sh

84 lines
2.1 KiB

#!/bin/bash
set -e
ngpu=$(echo $CUDA_VISIBLE_DEVICES | awk -F "," '{print NF}')
echo "using $ngpu gpus..."
expdir=exp
datadir=data
recog_set="test-clean test-other dev-clean dev-other"
recog_set="test-clean"
config_path=$1
decode_config_path=$2
ckpt_prefix=$3
source ${MAIN_ROOT}/utils/parse_options.sh || exit 1;
# download language model
#bash local/download_lm_en.sh
#if [ $? -ne 0 ]; then
# exit 1
#fi
python3 format_rsl.py \
--origin_ref data/manifest.test-clean.raw \
--trans_ref data/manifest.test-clean.text
for type in ctc_greedy_search; do
echo "decoding ${type}"
batch_size=16
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 format_rsl.py \
--origin_hyp ${ckpt_prefix}.${type}.rsl \
--trans_hyp ${ckpt_prefix}.${type}.rsl.text
python3 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; 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 format_rsl.py \
--origin_hyp ${ckpt_prefix}.${type}.rsl \
--trans_hyp ${ckpt_prefix}.${type}.rsl.text
python3 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
echo "Finished"
exit 0