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#!/bin/bash
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source path.sh
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gpus=0
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stage=0
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stop_stage=100
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# with the following command, you can choice the stage range you want to run
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# such as `./run.sh --stage 0 --stop-stage 0`
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# this can not be mixed use with `$1`, `$2` ...
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source ${MAIN_ROOT}/utils/parse_options.sh || exit 1
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mkdir -p download
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if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
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# install PaddleOCR
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pip install "paddleocr>=2.0.1"
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fi
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if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
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# download pretrained tts models and unzip
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wget -P download https://paddlespeech.bj.bcebos.com/Parakeet/released_models/pwgan/pwg_baker_ckpt_0.4.zip
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unzip -d download download/pwg_baker_ckpt_0.4.zip
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wget -P download https://paddlespeech.bj.bcebos.com/Parakeet/released_models/fastspeech2/fastspeech2_nosil_baker_ckpt_0.4.zip
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unzip -d download download/fastspeech2_nosil_baker_ckpt_0.4.zip
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# download sources
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wget -P download https://paddlespeech.bj.bcebos.com/demos/story_talker/simfang.ttf
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wget -P download/imgs https://paddlespeech.bj.bcebos.com/demos/story_talker/000.jpg
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fi
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if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
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# run ocr
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CUDA_VISIBLE_DEVICES=${gpus} \
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python3 ocr.py --img-dir=download/imgs --output-dir=output --font-path=download/simfang.ttf
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fi
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if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then
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# run tts
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CUDA_VISIBLE_DEVICES=${gpus} \
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python3 ${BIN_DIR}/../synthesize_e2e.py \
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--am=fastspeech2_csmsc \
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--am_config=download/fastspeech2_nosil_baker_ckpt_0.4/default.yaml \
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--am_ckpt=download/fastspeech2_nosil_baker_ckpt_0.4/snapshot_iter_76000.pdz \
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--am_stat=download/fastspeech2_nosil_baker_ckpt_0.4/speech_stats.npy \
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--voc=pwgan_csmsc \
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--voc_config=download/pwg_baker_ckpt_0.4/pwg_default.yaml \
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--voc_ckpt=download/pwg_baker_ckpt_0.4/pwg_snapshot_iter_400000.pdz \
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--voc_stat=download/pwg_baker_ckpt_0.4/pwg_stats.npy \
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--lang=zh \
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--text=output/sentences.txt \
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--output_dir=output/wavs \
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--inference_dir=output/inference \
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--phones_dict=download/fastspeech2_nosil_baker_ckpt_0.4/phone_id_map.txt
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# output/inference is not needed here, which save the static models
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rm -rf output/inference
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fi
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