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| from synthesizer.preprocess import preprocess_dataset | |
| from synthesizer.hparams import hparams | |
| from utils.argutils import print_args | |
| from pathlib import Path | |
| import argparse | |
| if __name__ == "__main__": | |
| parser = argparse.ArgumentParser( | |
| description="Preprocesses audio files from datasets, encodes them as mel spectrograms " | |
| "and writes them to the disk. Audio files are also saved, to be used by the " | |
| "vocoder for training.", | |
| formatter_class=argparse.ArgumentDefaultsHelpFormatter | |
| ) | |
| parser.add_argument("datasets_root", type=Path, help=\ | |
| "Path to the directory containing your LibriSpeech/TTS datasets.") | |
| 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>/SV2TTS/synthesizer/") | |
| parser.add_argument("-n", "--n_processes", type=int, default=None, 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("--no_alignments", action="store_true", help=\ | |
| "Use this option when dataset does not include alignments\ | |
| (these are used to split long audio files into sub-utterances.)") | |
| parser.add_argument("--datasets_name", type=str, default="LibriSpeech", help=\ | |
| "Name of the dataset directory to process.") | |
| parser.add_argument("--subfolders", type=str, default="train-clean-100, train-clean-360", help=\ | |
| "Comma-separated list of subfolders to process inside your dataset directory") | |
| args = parser.parse_args() | |
| # Process the arguments | |
| if not hasattr(args, "out_dir"): | |
| args.out_dir = args.datasets_root.joinpath("SV2TTS", "synthesizer") | |
| # Create directories | |
| assert args.datasets_root.exists() | |
| args.out_dir.mkdir(exist_ok=True, parents=True) | |
| # Verify webrtcvad is available | |
| if not args.no_trim: | |
| try: | |
| import webrtcvad | |
| except: | |
| raise ModuleNotFoundError("Package 'webrtcvad' not found. This package enables " | |
| "noise removal and is recommended. Please install and try again. If installation fails, " | |
| "use --no_trim to disable this error message.") | |
| del args.no_trim | |
| # Preprocess the dataset | |
| print_args(args, parser) | |
| args.hparams = hparams.parse(args.hparams) | |
| preprocess_dataset(**vars(args)) | |