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PaddleSpeech/examples/aishell3/tts3/local/lite_predict.sh

33 lines
980 B

#!/bin/bash
train_output_path=$1
stage=0
stop_stage=0
# pwgan
if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
python3 ${BIN_DIR}/../lite_predict.py \
--inference_dir=${train_output_path}/pdlite \
--am=fastspeech2_aishell3 \
--voc=pwgan_aishell3 \
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--text=${BIN_DIR}/../../assets/sentences.txt \
--output_dir=${train_output_path}/lite_infer_out \
--phones_dict=dump/phone_id_map.txt \
--speaker_dict=dump/speaker_id_map.txt \
--spk_id=0
fi
# hifigan
if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
python3 ${BIN_DIR}/../lite_predict.py \
--inference_dir=${train_output_path}/pdlite \
--am=fastspeech2_aishell3 \
--voc=hifigan_aishell3 \
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--text=${BIN_DIR}/../../assets/sentences.txt \
--output_dir=${train_output_path}/lite_infer_out \
--phones_dict=dump/phone_id_map.txt \
--speaker_dict=dump/speaker_id_map.txt \
--spk_id=0
fi