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PaddleSpeech/examples/csmsc/voc5/finetune.sh

62 lines
2.1 KiB

#!/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/fastspeech2/gen_gta_mel.py \
--fastspeech2-config=fastspeech2_nosil_baker_ckpt_0.4/default.yaml \
--fastspeech2-checkpoint=fastspeech2_nosil_baker_ckpt_0.4/snapshot_iter_76000.pdz \
--fastspeech2-stat=fastspeech2_nosil_baker_ckpt_0.4/speech_stats.npy \
--dur-file=durations.txt \
--output-dir=dump_finetune \
--phones-dict=fastspeech2_nosil_baker_ckpt_0.4/phone_id_map.txt
fi
if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
python3 local/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
if [ ${stage} -le 4 ] && [ ${stop_stage} -ge 4 ]; then
CUDA_VISIBLE_DEVICES=${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