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#!/bin/bash
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set -e
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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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input=~/datasets/data_aishell3/train
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preprocess_path=dump
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alignment=./alignment
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# not include ".pdparams" here
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ge2e_ckpt_path=./ge2e_ckpt_0.3/step-3000000
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train_output_path=output
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# include ".pdparams" here
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ge2e_params_path=${ge2e_ckpt_path}.pdparams
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tacotron2_params_path=${train_output_path}/checkpoints/step-1000.pdparams
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# pretrained model
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# tacotron2_params_path=./tacotron2_aishell3_ckpt_0.3/step-450000.pdparams
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waveflow_params_path=./waveflow_ljspeech_ckpt_0.3/step-2000000.pdparams
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vc_input=ref_audio
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vc_output=syn_audio
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# with the following command, you can choose 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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if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
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# prepare data
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CUDA_VISIBLE_DEVICES=${gpus} ./local/preprocess.sh ${input} ${preprocess_path} ${alignment} ${ge2e_ckpt_path} || exit -1
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fi
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if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
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CUDA_VISIBLE_DEVICES=${gpus} ./local/train.sh ${preprocess_path} ${train_output_path} || exit -1
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fi
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if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
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CUDA_VISIBLE_DEVICES=${gpus} ./local/voice_cloning.sh ${ge2e_params_path} ${tacotron2_params_path} ${waveflow_params_path} ${vc_input} ${vc_output} || exit -1
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fi
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