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PaddleSpeech/examples/aishell3/ernie_sat/local/synthesize_e2e.sh

53 lines
1.9 KiB

#!/bin/bash
config_path=$1
train_output_path=$2
ckpt_name=$3
stage=0
stop_stage=1
if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
echo 'speech synthesize !'
FLAGS_allocator_strategy=naive_best_fit \
FLAGS_fraction_of_gpu_memory_to_use=0.01 \
python3 ${BIN_DIR}/synthesize_e2e.py \
--task_name=synthesize \
--wav_path=source/SSB03540307.wav\
--old_str='请播放歌曲小苹果。' \
--new_str='歌曲真好听。' \
--source_lang=zh \
--target_lang=zh \
--erniesat_config=${config_path} \
--phones_dict=dump/phone_id_map.txt \
--erniesat_ckpt=${train_output_path}/checkpoints/${ckpt_name} \
--erniesat_stat=dump/train/speech_stats.npy \
--voc=hifigan_aishell3 \
--voc_config=hifigan_aishell3_ckpt_0.2.0/default.yaml \
--voc_ckpt=hifigan_aishell3_ckpt_0.2.0/snapshot_iter_2500000.pdz \
--voc_stat=hifigan_aishell3_ckpt_0.2.0/feats_stats.npy \
--output_name=exp/pred_gen.wav
fi
if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
echo 'speech edit !'
FLAGS_allocator_strategy=naive_best_fit \
FLAGS_fraction_of_gpu_memory_to_use=0.01 \
python3 ${BIN_DIR}/synthesize_e2e.py \
--task_name=edit \
--wav_path=source/SSB03540428.wav \
--old_str='今天天气很好' \
--new_str='今天心情很好' \
--source_lang=zh \
--target_lang=zh \
--erniesat_config=${config_path} \
--phones_dict=dump/phone_id_map.txt \
--erniesat_ckpt=${train_output_path}/checkpoints/${ckpt_name} \
--erniesat_stat=dump/train/speech_stats.npy \
--voc=hifigan_aishell3 \
--voc_config=hifigan_aishell3_ckpt_0.2.0/default.yaml \
--voc_ckpt=hifigan_aishell3_ckpt_0.2.0/snapshot_iter_2500000.pdz \
--voc_stat=hifigan_aishell3_ckpt_0.2.0/feats_stats.npy \
--output_name=exp/pred_edit.wav
fi