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PaddleSpeech/tests/chains/speedyspeech/prepare.sh

55 lines
2.0 KiB

#!/bin/bash
# usage bash prepare.sh MODE
# FILENAME=$1
# MODE be one of ['lite_train_infer' 'whole_infer' 'whole_train_infer', 'infer']
MODE=$1
# dataline=$(cat ${FILENAME})
# parser params
IFS=$'\n'
lines=(${dataline})
function func_parser_key(){
strs=$1
IFS=":"
array=(${strs})
tmp=${array[0]}
echo ${tmp}
}
function func_parser_value(){
strs=$1
IFS=":"
array=(${strs})
tmp=${array[1]}
echo ${tmp}
}
IFS=$'\n'
# The training params
model_name=$(func_parser_value "${lines[1]}")
trainer_list=$(func_parser_value "${lines[14]}")
# MODE be one of ['lite_train_infer' 'whole_infer' 'whole_train_infer']
if [ ${MODE} = "lite_train_infer" ];then
# pretrain lite train data
3 years ago
wget -nc -P ./pretrain_models/ https://paddlespeech.bj.bcebos.com/Parakeet/released_models/pwgan/pwg_baker_ckpt_0.4.zip
(cd ./pretrain_models && unzip pwg_baker_ckpt_0.4.zip)
# download data
rm -rf ./train_data/mini_BZNSYP
wget -nc -P ./train_data/ https://paddlespeech.bj.bcebos.com/datasets/CE/speedyspeech_v0.5/mini_BZNSYP.tar.gz
cd ./train_data/ && tar xzf mini_BZNSYP.tar.gz
cd ../
elif [ ${MODE} = "whole_train_infer" ];then
3 years ago
wget -nc -P ./pretrain_models/ https://paddlespeech.bj.bcebos.com/Parakeet/released_models/speedyspeech/speedyspeech_nosil_baker_ckpt_0.5.zip
wget -nc -P ./pretrain_models/ https://paddlespeech.bj.bcebos.com/Parakeet/pwg_baker_ckpt_0.4.zip
(cd ./pretrain_models && unzip speedyspeech_nosil_baker_ckpt_0.5.zip && unzip pwg_baker_ckpt_0.4.zip)
rm -rf ./train_data/processed_BZNSYP
wget -nc -P ./train_data/ https://paddlespeech.bj.bcebos.com/datasets/CE/speedyspeech_v0.5/processed_BZNSYP.tar.gz
cd ./train_data/ && tar xzf processed_BZNSYP.tar.gz
cd ../
else
# whole infer using paddle inference library
wget -nc -P ./pretrain_models/ https://paddlespeech.bj.bcebos.com/Parakeet/speedyspeech_pwg_inference_0.5.zip
(cd ./pretrain_models && unzip speedyspeech_pwg_inference_0.5.zip)
fi