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PaddleSpeech/examples/vctk/ernie_sat/local/synthesize.sh

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825 B

#!/bin/bash
config_path=$1
train_output_path=$2
ckpt_name=$3
stage=0
stop_stage=0
# hifigan
if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
FLAGS_allocator_strategy=naive_best_fit \
FLAGS_fraction_of_gpu_memory_to_use=0.01 \
python3 ${BIN_DIR}/synthesize.py \
--erniesat_config=${config_path} \
--erniesat_ckpt=${train_output_path}/checkpoints/${ckpt_name} \
--erniesat_stat=dump/train/speech_stats.npy \
--voc=hifigan_vctk \
--voc_config=hifigan_vctk_ckpt_0.2.0/default.yaml \
--voc_ckpt=hifigan_vctk_ckpt_0.2.0/snapshot_iter_2500000.pdz \
--voc_stat=hifigan_vctk_ckpt_0.2.0/feats_stats.npy \
--test_metadata=dump/test/norm/metadata.jsonl \
--output_dir=${train_output_path}/test \
--phones_dict=dump/phone_id_map.txt
fi