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PaddleSpeech/runtime/examples/u2pp_ol/wenetspeech/run.sh

86 lines
2.2 KiB

#!/bin/bash
set -e
. path.sh
nj=40
stage=-1
stop_stage=100
. utils/parse_options.sh
# input
data=data
exp=exp
mkdir -p $exp $data
aishell_wav_scp=aishell_test.scp
# 1. compile
if [ ! -d ${SPEECHX_BUILD} ]; then
pushd ${SPEECHX_ROOT}
bash build.sh
popd
fi
ckpt_dir=$data/model
if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ];then
# download u2pp model
if [ ! -f $ckpt_dir/asr1_chunk_conformer_u2pp_wenetspeech_static_1.3.0.model.tar.gz ]; then
mkdir -p $ckpt_dir
pushd $ckpt_dir
wget -c https://paddlespeech.bj.bcebos.com/s2t/wenetspeech/asr1/static/asr1_chunk_conformer_u2pp_wenetspeech_static_1.3.0.model.tar.gz
tar xzfv asr1_chunk_conformer_u2pp_wenetspeech_static_1.3.0.model.tar.gz
popd
fi
# download u2pp quant model
if [ ! -f $ckpt_dir/asr1_chunk_conformer_u2pp_wenetspeech_static_quant_1.3.0.model.tar.gz ]; then
mkdir -p $ckpt_dir
pushd $ckpt_dir
wget -c https://paddlespeech.bj.bcebos.com/s2t/wenetspeech/asr1/static/asr1_chunk_conformer_u2pp_wenetspeech_static_quant_1.3.0.model.tar.gz
tar xzfv asr1_chunk_conformer_u2pp_wenetspeech_static_quant_1.3.0.model.tar.gz
popd
fi
# test wav scp
if [ ! -f data/wav.scp ]; then
mkdir -p $data
pushd $data
wget -c https://paddlespeech.bj.bcebos.com/PaddleAudio/zh.wav
echo "utt1 " $PWD/zh.wav > wav.scp
popd
fi
# aishell wav scp
if [ ! -d $data/test ]; then
pushd $data
wget -c https://paddlespeech.bj.bcebos.com/s2t/paddle_asr_online/aishell_test.zip
unzip aishell_test.zip
popd
realpath $data/test/*/*.wav > $data/wavlist
awk -F '/' '{ print $(NF) }' $data/wavlist | awk -F '.' '{ print $1 }' > $data/utt_id
paste $data/utt_id $data/wavlist > $data/$aishell_wav_scp
fi
fi
if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
# decode with wav input
./local/recognizer.sh
fi
if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
# decode with wav input with quanted model
./local/recognizer_quant.sh
fi
if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then
# decode with wfst
./local/recognizer_wfst.sh
fi