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PaddleSpeech/examples/ernie_sat/local/sedit_arg_parser.py

85 lines
3.0 KiB

import argparse
def parse_args():
# parse args and config and redirect to train_sp
parser = argparse.ArgumentParser(
description="Synthesize with acoustic model & vocoder")
# acoustic model
parser.add_argument(
'--am',
type=str,
default='fastspeech2_csmsc',
choices=[
'speedyspeech_csmsc', 'fastspeech2_csmsc', 'fastspeech2_ljspeech',
'fastspeech2_aishell3', 'fastspeech2_vctk', 'tacotron2_csmsc',
'tacotron2_ljspeech', 'tacotron2_aishell3'
],
help='Choose acoustic model type of tts task.')
parser.add_argument(
'--am_config',
type=str,
default=None,
help='Config of acoustic model. Use deault config when it is None.')
parser.add_argument(
'--am_ckpt',
type=str,
default=None,
help='Checkpoint file of acoustic model.')
parser.add_argument(
"--am_stat",
type=str,
default=None,
help="mean and standard deviation used to normalize spectrogram when training acoustic model."
)
parser.add_argument(
"--phones_dict", type=str, default=None, help="phone vocabulary file.")
parser.add_argument(
"--tones_dict", type=str, default=None, help="tone vocabulary file.")
parser.add_argument(
"--speaker_dict", type=str, default=None, help="speaker id map file.")
# vocoder
parser.add_argument(
'--voc',
type=str,
default='pwgan_aishell3',
choices=[
'pwgan_csmsc', 'pwgan_ljspeech', 'pwgan_aishell3', 'pwgan_vctk',
'mb_melgan_csmsc', 'wavernn_csmsc', 'hifigan_csmsc',
'hifigan_ljspeech', 'hifigan_aishell3', 'hifigan_vctk',
'style_melgan_csmsc'
],
help='Choose vocoder type of tts task.')
parser.add_argument(
'--voc_config',
type=str,
default=None,
help='Config of voc. Use deault config when it is None.')
parser.add_argument(
'--voc_ckpt', type=str, default=None, help='Checkpoint file of voc.')
parser.add_argument(
"--voc_stat",
type=str,
default=None,
help="mean and standard deviation used to normalize spectrogram when training voc."
)
# other
parser.add_argument(
"--ngpu", type=int, default=1, help="if ngpu == 0, use cpu.")
parser.add_argument("--model_name", type=str, help="model name")
parser.add_argument("--uid", type=str, help="uid")
parser.add_argument("--new_str", type=str, help="new string")
parser.add_argument("--prefix", type=str, help="prefix")
parser.add_argument(
"--source_lang", type=str, default="english", help="source language")
parser.add_argument(
"--target_lang", type=str, default="english", help="target language")
parser.add_argument("--output_name", type=str, help="output name")
parser.add_argument("--task_name", type=str, help="task name")
# pre
args = parser.parse_args()
return args