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PaddleSpeech/examples/csmsc/tts2/local/lite_predict.sh

44 lines
1.4 KiB

#!/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=speedyspeech_csmsc \
--voc=pwgan_csmsc \
--text=${BIN_DIR}/../../assets/sentences.txt \
--output_dir=${train_output_path}/lite_infer_out \
--phones_dict=dump/phone_id_map.txt \
--tones_dict=dump/tone_id_map.txt
fi
# for more GAN Vocoders
# multi band melgan
if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
python3 ${BIN_DIR}/../lite_predict.py \
--inference_dir=${train_output_path}/pdlite \
--am=speedyspeech_csmsc \
--voc=mb_melgan_csmsc \
--text=${BIN_DIR}/../../assets/sentences.txt \
--output_dir=${train_output_path}/lite_infer_out \
--phones_dict=dump/phone_id_map.txt \
--tones_dict=dump/tone_id_map.txt
fi
# hifigan
if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
python3 ${BIN_DIR}/../lite_predict.py \
--inference_dir=${train_output_path}/pdlite \
--am=speedyspeech_csmsc \
--voc=hifigan_csmsc \
--text=${BIN_DIR}/../../assets/sentences.txt \
--output_dir=${train_output_path}/lite_infer_out \
--phones_dict=dump/phone_id_map.txt \
--tones_dict=dump/tone_id_map.txt
fi