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PaddleSpeech/examples/vctk/tts3/local/synthesize_e2e.sh

24 lines
760 B

#!/bin/bash
config_path=$1
train_output_path=$2
ckpt_name=$3
FLAGS_allocator_strategy=naive_best_fit \
FLAGS_fraction_of_gpu_memory_to_use=0.01 \
python3 ${BIN_DIR}/../synthesize_e2e.py \
--am=fastspeech2_vctk \
--am_config=${config_path} \
--am_ckpt=${train_output_path}/checkpoints/${ckpt_name} \
--am_stat=dump/train/speech_stats.npy \
--voc=pwgan_vctk \
--voc_config=pwg_vctk_ckpt_0.5/pwg_default.yaml \
--voc_ckpt=pwg_vctk_ckpt_0.5/pwg_snapshot_iter_1000000.pdz \
--voc_stat=pwg_vctk_ckpt_0.5/pwg_stats.npy \
--lang=en \
--text=${BIN_DIR}/../sentences_en.txt \
--output_dir=${train_output_path}/test_e2e \
--phones_dict=dump/phone_id_map.txt \
--speaker_dict=dump/speaker_id_map.txt \
--spk_id=0