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#!/bin/bash
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train_output_path=$1
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stage=0
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stop_stage=0
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# pwgan
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if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
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python3 ${BIN_DIR}/../inference.py \
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--inference_dir=${train_output_path}/inference \
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--am=fastspeech2_canton \
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--voc=pwgan_aishell3 \
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--spk_id=10 \
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--text=${BIN_DIR}/../../assets/sentences_canton.txt \
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--output_dir=${train_output_path}/pd_infer_out \
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--phones_dict=dump/phone_id_map.txt \
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--speaker_dict=dump/speaker_id_map.txt \
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--lang=canton
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fi
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# for more GAN Vocoders
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# multi band melgan
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if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
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python3 ${BIN_DIR}/../inference.py \
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--inference_dir=${train_output_path}/inference \
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--am=fastspeech2_canton \
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--voc=mb_melgan_csmsc \
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--spk_id=10 \
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--text=${BIN_DIR}/../../assets/sentences_canton.txt \
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--output_dir=${train_output_path}/pd_infer_out \
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--phones_dict=dump/phone_id_map.txt \
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--speaker_dict=dump/speaker_id_map.txt \
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--lang=canton
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fi
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# hifigan
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if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
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python3 ${BIN_DIR}/../inference.py \
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--inference_dir=${train_output_path}/inference \
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--am=fastspeech2_canton \
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--voc=hifigan_csmsc \
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--spk_id=10 \
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--text=${BIN_DIR}/../../assets/sentences_canton.txt \
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--output_dir=${train_output_path}/pd_infer_out \
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--phones_dict=dump/phone_id_map.txt \
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--speaker_dict=dump/speaker_id_map.txt \
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--lang=canton
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fi
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# wavernn
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if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then
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python3 ${BIN_DIR}/../inference.py \
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--inference_dir=${train_output_path}/inference \
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--am=fastspeech2_canton \
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--voc=wavernn_csmsc \
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--spk_id=10 \
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--text=${BIN_DIR}/../../assets/sentences_canton.txt \
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--output_dir=${train_output_path}/pd_infer_out \
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--phones_dict=dump/phone_id_map.txt \
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--speaker_dict=dump/speaker_id_map.txt \
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--lang=canton
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fi
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