You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
85 lines
3.0 KiB
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
|