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107 lines
3.1 KiB
107 lines
3.1 KiB
#!/bin/bash
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set -e
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source path.sh
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input_dir=./input/ljspeech_mini
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newdir_name="newdir"
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new_dir=${input_dir}/${newdir_name}
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pretrained_model_dir=./pretrained_models/fastspeech2_vctk_ckpt_1.2.0
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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=en
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ngpu=1
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finetune_config=./conf/finetune.yaml
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replace_spkid=0
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ckpt=snapshot_iter_66300
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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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# check oov
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if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
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echo "check oov"
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python3 local/check_oov.py \
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--input_dir=${input_dir} \
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--pretrained_model_dir=${pretrained_model_dir} \
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--newdir_name=${newdir_name} \
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--lang=${lang}
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fi
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# get mfa result
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if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
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echo "get mfa result"
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python3 local/get_mfa_result.py \
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--input_dir=${new_dir} \
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--mfa_dir=${mfa_dir} \
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--lang=${lang}
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fi
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# generate durations.txt
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if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
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echo "generate durations.txt"
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python3 local/generate_duration.py \
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--mfa_dir=${mfa_dir}
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fi
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# extract feature
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if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then
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echo "extract feature"
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python3 local/extract_feature.py \
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--duration_file="./durations.txt" \
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--input_dir=${new_dir} \
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--dump_dir=${dump_dir} \
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--pretrained_model_dir=${pretrained_model_dir} \
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--replace_spkid=$replace_spkid
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fi
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# create finetune env
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if [ ${stage} -le 4 ] && [ ${stop_stage} -ge 4 ]; then
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echo "create finetune env"
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python3 local/prepare_env.py \
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--pretrained_model_dir=${pretrained_model_dir} \
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--output_dir=${output_dir}
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fi
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# finetune
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if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then
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echo "finetune..."
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python3 local/finetune.py \
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--pretrained_model_dir=${pretrained_model_dir} \
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--dump_dir=${dump_dir} \
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--output_dir=${output_dir} \
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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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# synthesize e2e
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if [ ${stage} -le 6 ] && [ ${stop_stage} -ge 6 ]; then
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echo "in hifigan syn_e2e"
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python3 ${BIN_DIR}/../synthesize_e2e.py \
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--am=fastspeech2_vctk \
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--am_config=${pretrained_model_dir}/default.yaml \
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--am_ckpt=${output_dir}/checkpoints/${ckpt}.pdz \
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--am_stat=${pretrained_model_dir}/speech_stats.npy \
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--voc=hifigan_vctk \
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--voc_config=pretrained_models/hifigan_vctk_ckpt_0.2.0/default.yaml \
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--voc_ckpt=pretrained_models/hifigan_vctk_ckpt_0.2.0/snapshot_iter_2500000.pdz \
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--voc_stat=pretrained_models/hifigan_vctk_ckpt_0.2.0/feats_stats.npy \
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--lang=en \
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--text=${BIN_DIR}/../../assets/sentences_en.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=$replace_spkid
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fi
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