mirror of
https://github.com/babysor/MockingBird.git
synced 2024-03-22 13:11:31 +08:00
50 lines
2.3 KiB
Python
50 lines
2.3 KiB
Python
|
from pathlib import Path
|
||
|
|
import argparse
|
||
|
|
|
||
|
|
from ppg2mel.preprocess import preprocess_dataset
|
||
|
|
from pathlib import Path
|
||
|
|
import argparse
|
||
|
|
|
||
|
|
recognized_datasets = [
|
||
|
|
"aidatatang_200zh",
|
||
|
|
"aidatatang_200zh_s", # sample
|
||
|
|
]
|
||
|
|
|
||
|
|
if __name__ == "__main__":
|
||
|
|
parser = argparse.ArgumentParser(
|
||
|
|
description="Preprocesses audio files from datasets, to be used by the "
|
||
|
|
"ppg2mel model for training.",
|
||
|
|
formatter_class=argparse.ArgumentDefaultsHelpFormatter
|
||
|
|
)
|
||
|
|
parser.add_argument("datasets_root", type=Path, help=\
|
||
|
|
"Path to the directory containing your datasets.")
|
||
|
|
parser.add_argument("-d", "--dataset", type=str, default="aidatatang_200zh", help=\
|
||
|
|
"Name of the dataset to process, allowing values: aidatatang_200zh.")
|
||
|
|
parser.add_argument("-o", "--out_dir", type=Path, default=argparse.SUPPRESS, help=\
|
||
|
|
"Path to the output directory that will contain the mel spectrograms, the audios and the "
|
||
|
|
"embeds. Defaults to <datasets_root>/PPGVC/ppg2mel/")
|
||
|
|
parser.add_argument("-n", "--n_processes", type=int, default=8, help=\
|
||
|
|
"Number of processes in parallel.")
|
||
|
|
# parser.add_argument("-s", "--skip_existing", action="store_true", help=\
|
||
|
|
# "Whether to overwrite existing files with the same name. Useful if the preprocessing was "
|
||
|
|
# "interrupted. ")
|
||
|
|
# parser.add_argument("--hparams", type=str, default="", help=\
|
||
|
|
# "Hyperparameter overrides as a comma-separated list of name-value pairs")
|
||
|
|
# parser.add_argument("--no_trim", action="store_true", help=\
|
||
|
|
# "Preprocess audio without trimming silences (not recommended).")
|
||
|
|
parser.add_argument("-pf", "--ppg_encoder_model_fpath", type=Path, default="ppg_extractor/saved_models/24epoch.pt", help=\
|
||
|
|
"Path your trained ppg encoder model.")
|
||
|
|
parser.add_argument("-sf", "--speaker_encoder_model", type=Path, default="encoder/saved_models/pretrained_bak_5805000.pt", help=\
|
||
|
|
"Path your trained speaker encoder model.")
|
||
|
|
args = parser.parse_args()
|
||
|
|
|
||
|
|
assert args.dataset in recognized_datasets, 'is not supported, file a issue to propose a new one'
|
||
|
|
|
||
|
|
# Create directories
|
||
|
|
assert args.datasets_root.exists()
|
||
|
|
if not hasattr(args, "out_dir"):
|
||
|
|
args.out_dir = args.datasets_root.joinpath("PPGVC", "ppg2mel")
|
||
|
|
args.out_dir.mkdir(exist_ok=True, parents=True)
|
||
|
|
|
||
|
|
preprocess_dataset(**vars(args))
|