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#!/bin/bash
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source path.sh
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gpus=0
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stage=0
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stop_stage=100
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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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python3 ${MAIN_ROOT}/paddlespeech/t2s/exps/fastspeech2/gen_gta_mel.py \
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--fastspeech2-config=fastspeech2_nosil_baker_ckpt_0.4/default.yaml \
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--fastspeech2-checkpoint=fastspeech2_nosil_baker_ckpt_0.4/snapshot_iter_76000.pdz \
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--fastspeech2-stat=fastspeech2_nosil_baker_ckpt_0.4/speech_stats.npy \
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--dur-file=durations.txt \
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--output-dir=dump_finetune \
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--phones-dict=fastspeech2_nosil_baker_ckpt_0.4/phone_id_map.txt \
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--dataset=baker \
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--rootdir=~/datasets/BZNSYP/
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fi
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if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
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python3 ${MAIN_ROOT}/utils/link_wav.py \
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--old-dump-dir=dump \
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--dump-dir=dump_finetune
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fi
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if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
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# get features' stats(mean and std)
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echo "Get features' stats ..."
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cp dump/train/feats_stats.npy dump_finetune/train/
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fi
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if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then
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# normalize, dev and test should use train's stats
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echo "Normalize ..."
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python3 ${BIN_DIR}/../normalize.py \
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--metadata=dump_finetune/train/raw/metadata.jsonl \
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--dumpdir=dump_finetune/train/norm \
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--stats=dump_finetune/train/feats_stats.npy \
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--skip-wav-copy
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python3 ${BIN_DIR}/../normalize.py \
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--metadata=dump_finetune/dev/raw/metadata.jsonl \
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--dumpdir=dump_finetune/dev/norm \
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--stats=dump_finetune/train/feats_stats.npy \
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--skip-wav-copy
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python3 ${BIN_DIR}/../normalize.py \
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--metadata=dump_finetune/test/raw/metadata.jsonl \
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--dumpdir=dump_finetune/test/norm \
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--stats=dump_finetune/train/feats_stats.npy \
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--skip-wav-copy
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fi
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if [ ${stage} -le 4 ] && [ ${stop_stage} -ge 4 ]; then
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CUDA_VISIBLE_DEVICES=${gpus} \
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FLAGS_cudnn_exhaustive_search=true \
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FLAGS_conv_workspace_size_limit=4000 \
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python ${BIN_DIR}/train.py \
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--train-metadata=dump_finetune/train/norm/metadata.jsonl \
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--dev-metadata=dump_finetune/dev/norm/metadata.jsonl \
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--config=conf/finetune.yaml \
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--output-dir=exp/finetune \
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--ngpu=1
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fi
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