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PaddleSpeech/examples/other/tts_finetune/tts3/run.sh

62 lines
1.8 KiB

#!/bin/bash
set -e
source path.sh
input_dir=./input/csmsc_mini
pretrained_model_dir=./pretrained_models/fastspeech2_aishell3_ckpt_1.1.0
mfa_dir=./mfa_result
dump_dir=./dump
output_dir=./exp/default
lang=zh
ngpu=2
ckpt=snapshot_iter_96600
gpus=0,1
CUDA_VISIBLE_DEVICES=${gpus}
stage=0
stop_stage=100
# with the following command, you can choose the stage range you want to run
# such as `./run.sh --stage 0 --stop-stage 0`
# this can not be mixed use with `$1`, `$2` ...
source ${MAIN_ROOT}/utils/parse_options.sh || exit 1
if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
# finetune
python3 finetune.py \
--input_dir=${input_dir} \
--pretrained_model_dir=${pretrained_model_dir} \
--mfa_dir=${mfa_dir} \
--dump_dir=${dump_dir} \
--output_dir=${output_dir} \
--lang=${lang} \
--ngpu=${ngpu} \
--epoch=100
fi
if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
echo "in hifigan syn_e2e"
FLAGS_allocator_strategy=naive_best_fit \
FLAGS_fraction_of_gpu_memory_to_use=0.01 \
python3 ${BIN_DIR}/../synthesize_e2e.py \
--am=fastspeech2_aishell3 \
--am_config=${pretrained_model_dir}/default.yaml \
--am_ckpt=${output_dir}/checkpoints/${ckpt}.pdz \
--am_stat=${pretrained_model_dir}/speech_stats.npy \
--voc=hifigan_aishell3 \
--voc_config=pretrained_models/hifigan_aishell3_ckpt_0.2.0/default.yaml \
--voc_ckpt=pretrained_models/hifigan_aishell3_ckpt_0.2.0/snapshot_iter_2500000.pdz \
--voc_stat=pretrained_models/hifigan_aishell3_ckpt_0.2.0/feats_stats.npy \
--lang=zh \
--text=${BIN_DIR}/../sentences.txt \
--output_dir=./test_e2e \
--phones_dict=${dump_dir}/phone_id_map.txt \
--speaker_dict=${dump_dir}/speaker_id_map.txt \
--spk_id=0
fi