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

32 lines
1.0 KiB

#!/bin/bash
model_dir=$1
output=$2
am_name=fastspeech2_csmscljspeech_add-zhen
am_model_dir=${model_dir}/${am_name}/
stage=1
stop_stage=1
# hifigan
if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
FLAGS_allocator_strategy=naive_best_fit \
FLAGS_fraction_of_gpu_memory_to_use=0.01 \
python3 ${BIN_DIR}/../synthesize_e2e.py \
--am=fastspeech2_mix \
--am_config=${am_model_dir}/default.yaml \
--am_ckpt=${am_model_dir}/snapshot_iter_94000.pdz \
--am_stat=${am_model_dir}/speech_stats.npy \
--voc=hifigan_ljspeech \
--voc_config=${model_dir}/hifigan_ljspeech_ckpt_0.2.0/default.yaml \
--voc_ckpt=${model_dir}/hifigan_ljspeech_ckpt_0.2.0/snapshot_iter_2500000.pdz \
--voc_stat=${model_dir}/hifigan_ljspeech_ckpt_0.2.0/feats_stats.npy \
--lang=mix \
--text=${BIN_DIR}/../sentences_mix.txt \
--output_dir=${output}/test_e2e \
--phones_dict=${am_model_dir}/phone_id_map.txt \
--speaker_dict=${am_model_dir}/speaker_id_map.txt \
--spk_id 0
fi