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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))
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