You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
75 lines
2.5 KiB
75 lines
2.5 KiB
2 years ago
|
#!/bin/bash
|
||
|
|
|
||
|
|
source path.sh
|
||
|
|
|
||
|
|
gpus=0
|
||
|
|
stage=0
|
||
|
|
stop_stage=100
|
||
|
|
|
||
|
|
source ${MAIN_ROOT}/utils/parse_options.sh || exit 1
|
||
|
|
|
||
|
|
if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
|
||
|
|
python3 ${MAIN_ROOT}/paddlespeech/t2s/exps/diffsinger/gen_gta_mel.py \
|
||
|
|
--diffsinger-config=diffsinger_opencpop_ckpt_1.4.0/default.yaml \
|
||
|
|
--diffsinger-checkpoint=diffsinger_opencpop_ckpt_1.4.0/snapshot_iter_160000.pdz \
|
||
|
|
--diffsinger-stat=diffsinger_opencpop_ckpt_1.4.0/speech_stats.npy \
|
||
|
|
--diffsinger-stretch=diffsinger_opencpop_ckpt_1.4.0/speech_stretchs.npy \
|
||
|
|
--dur-file=~/datasets/Opencpop/segments/transcriptions.txt \
|
||
|
|
--output-dir=dump_finetune \
|
||
|
|
--phones-dict=diffsinger_opencpop_ckpt_1.4.0/phone_id_map.txt \
|
||
|
|
--dataset=opencpop \
|
||
|
|
--rootdir=~/datasets/Opencpop/segments/
|
||
|
|
fi
|
||
|
|
|
||
|
|
if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
|
||
|
|
python3 ${MAIN_ROOT}/utils/link_wav.py \
|
||
|
|
--old-dump-dir=dump \
|
||
|
|
--dump-dir=dump_finetune
|
||
|
|
fi
|
||
|
|
|
||
|
|
if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
|
||
|
|
# get features' stats(mean and std)
|
||
|
|
echo "Get features' stats ..."
|
||
|
|
cp dump/train/feats_stats.npy dump_finetune/train/
|
||
|
|
fi
|
||
|
|
|
||
|
|
if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then
|
||
|
|
# normalize, dev and test should use train's stats
|
||
|
|
echo "Normalize ..."
|
||
|
|
|
||
|
|
python3 ${BIN_DIR}/../normalize.py \
|
||
|
|
--metadata=dump_finetune/train/raw/metadata.jsonl \
|
||
|
|
--dumpdir=dump_finetune/train/norm \
|
||
|
|
--stats=dump_finetune/train/feats_stats.npy
|
||
|
|
python3 ${BIN_DIR}/../normalize.py \
|
||
|
|
--metadata=dump_finetune/dev/raw/metadata.jsonl \
|
||
|
|
--dumpdir=dump_finetune/dev/norm \
|
||
|
|
--stats=dump_finetune/train/feats_stats.npy
|
||
|
|
|
||
|
|
python3 ${BIN_DIR}/../normalize.py \
|
||
|
|
--metadata=dump_finetune/test/raw/metadata.jsonl \
|
||
|
|
--dumpdir=dump_finetune/test/norm \
|
||
|
|
--stats=dump_finetune/train/feats_stats.npy
|
||
|
|
fi
|
||
|
|
|
||
|
|
# create finetune env
|
||
|
|
if [ ${stage} -le 4 ] && [ ${stop_stage} -ge 4 ]; then
|
||
|
|
echo "create finetune env"
|
||
|
|
python3 local/prepare_env.py \
|
||
|
|
--pretrained_model_dir=exp/default/checkpoints/ \
|
||
|
|
--output_dir=exp/finetune/
|
||
|
|
fi
|
||
|
|
|
||
|
|
# finetune
|
||
|
|
if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then
|
||
|
|
CUDA_VISIBLE_DEVICES=${gpus} \
|
||
|
|
FLAGS_cudnn_exhaustive_search=true \
|
||
|
|
FLAGS_conv_workspace_size_limit=4000 \
|
||
|
|
python ${BIN_DIR}/train.py \
|
||
|
|
--train-metadata=dump_finetune/train/norm/metadata.jsonl \
|
||
|
|
--dev-metadata=dump_finetune/dev/norm/metadata.jsonl \
|
||
|
|
--config=conf/finetune.yaml \
|
||
|
|
--output-dir=exp/finetune \
|
||
|
|
--ngpu=1
|
||
|
|
fi
|