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64 lines
1.9 KiB
64 lines
1.9 KiB
#!/bin/bash
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set -e
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source path.sh
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input_dir=./input/csmsc_mini
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pretrained_model_dir=./pretrained_models/fastspeech2_aishell3_ckpt_1.1.0
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mfa_dir=./mfa_result
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dump_dir=./dump
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output_dir=./exp/default
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lang=zh
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ngpu=1
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finetune_config=./finetune.yaml
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ckpt=snapshot_iter_96699
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gpus=1
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CUDA_VISIBLE_DEVICES=${gpus}
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stage=0
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stop_stage=100
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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 ] && [ ${stop_stage} -ge 0 ]; then
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# finetune
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python3 finetune.py \
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--input_dir=${input_dir} \
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--pretrained_model_dir=${pretrained_model_dir} \
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--mfa_dir=${mfa_dir} \
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--dump_dir=${dump_dir} \
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--output_dir=${output_dir} \
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--lang=${lang} \
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--ngpu=${ngpu} \
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--epoch=100 \
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--finetune_config=${finetune_config}
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fi
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if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
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echo "in hifigan syn_e2e"
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FLAGS_allocator_strategy=naive_best_fit \
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FLAGS_fraction_of_gpu_memory_to_use=0.01 \
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python3 ${BIN_DIR}/../synthesize_e2e.py \
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--am=fastspeech2_aishell3 \
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--am_config=${pretrained_model_dir}/default.yaml \
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--am_ckpt=${output_dir}/checkpoints/${ckpt}.pdz \
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--am_stat=${pretrained_model_dir}/speech_stats.npy \
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--voc=hifigan_aishell3 \
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--voc_config=pretrained_models/hifigan_aishell3_ckpt_0.2.0/default.yaml \
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--voc_ckpt=pretrained_models/hifigan_aishell3_ckpt_0.2.0/snapshot_iter_2500000.pdz \
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--voc_stat=pretrained_models/hifigan_aishell3_ckpt_0.2.0/feats_stats.npy \
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--lang=zh \
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--text=${BIN_DIR}/../sentences.txt \
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--output_dir=./test_e2e/ \
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--phones_dict=${dump_dir}/phone_id_map.txt \
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--speaker_dict=${dump_dir}/speaker_id_map.txt \
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--spk_id=0
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fi
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