You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
PaddleSpeech/demos/story_talker/run.sh

51 lines
2.0 KiB

#!/bin/bash
source path.sh
gpus=0
stage=0
stop_stage=100
# with the following command, you can choice the stage range you want to run
# such as `./run.sh --stage 0 --stop-stage 0`
# this can not be mixed use with `$1`, `$2` ...
source ${MAIN_ROOT}/utils/parse_options.sh || exit 1
mkdir -p download
if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
# install PaddleOCR
pip install "paddleocr>=2.0.1"
fi
if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
# download pretrained tts models and unzip
wget -P download https://paddlespeech.bj.bcebos.com/Parakeet/released_models/pwgan/pwg_baker_ckpt_0.4.zip
unzip -d download download/pwg_baker_ckpt_0.4.zip
wget -P download https://paddlespeech.bj.bcebos.com/Parakeet/released_models/fastspeech2/fastspeech2_nosil_baker_ckpt_0.4.zip
unzip -d download download/fastspeech2_nosil_baker_ckpt_0.4.zip
fi
if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
# run ocr
CUDA_VISIBLE_DEVICES=${gpus} \
python3 ocr.py --img-dir=imgs --output-dir=output --font-path=simfang.ttf
fi
if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then
# run tts
CUDA_VISIBLE_DEVICES=${gpus} \
python3 ${BIN_DIR}/synthesize_e2e.py \
--fastspeech2-config=download/fastspeech2_nosil_baker_ckpt_0.4/default.yaml \
--fastspeech2-checkpoint=download/fastspeech2_nosil_baker_ckpt_0.4/snapshot_iter_76000.pdz \
--fastspeech2-stat=download/fastspeech2_nosil_baker_ckpt_0.4/speech_stats.npy \
--pwg-config=download/pwg_baker_ckpt_0.4/pwg_default.yaml \
--pwg-checkpoint=download/pwg_baker_ckpt_0.4/pwg_snapshot_iter_400000.pdz \
--pwg-stat=download/pwg_baker_ckpt_0.4/pwg_stats.npy \
--text=output/sentences.txt \
--output-dir=output/wavs \
--inference-dir=output/inference \
--phones-dict=download/fastspeech2_nosil_baker_ckpt_0.4/phone_id_map.txt
# output/inference is not needed here, which save the static models
rm -rf output/inference
fi