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 /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))