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| from synthesizer.synthesize import run_synthesis | |
| from synthesizer.hparams import hparams | |
| from utils.argutils import print_args | |
| import argparse | |
| import os | |
| if __name__ == "__main__": | |
| class MyFormatter(argparse.ArgumentDefaultsHelpFormatter, argparse.RawDescriptionHelpFormatter): | |
| pass | |
| parser = argparse.ArgumentParser( | |
| description="Creates ground-truth aligned (GTA) spectrograms from the vocoder.", | |
| formatter_class=MyFormatter | |
| ) | |
| parser.add_argument("datasets_root", type=str, help=\ | |
| "Path to the directory containing your SV2TTS directory. If you specify both --in_dir and " | |
| "--out_dir, this argument won't be used.") | |
| parser.add_argument("-m", "--model_dir", type=str, | |
| default="synthesizer/saved_models/mandarin/", help=\ | |
| "Path to the pretrained model directory.") | |
| parser.add_argument("-i", "--in_dir", type=str, default=argparse.SUPPRESS, help= \ | |
| "Path to the synthesizer directory that contains the mel spectrograms, the wavs and the " | |
| "embeds. Defaults to <datasets_root>/SV2TTS/synthesizer/.") | |
| parser.add_argument("-o", "--out_dir", type=str, default=argparse.SUPPRESS, help= \ | |
| "Path to the output vocoder directory that will contain the ground truth aligned mel " | |
| "spectrograms. Defaults to <datasets_root>/SV2TTS/vocoder/.") | |
| parser.add_argument("--hparams", 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("--cpu", action="store_true", help=\ | |
| "If True, processing is done on CPU, even when a GPU is available.") | |
| args = parser.parse_args() | |
| print_args(args, parser) | |
| modified_hp = hparams.parse(args.hparams) | |
| if not hasattr(args, "in_dir"): | |
| args.in_dir = os.path.join(args.datasets_root, "SV2TTS", "synthesizer") | |
| if not hasattr(args, "out_dir"): | |
| args.out_dir = os.path.join(args.datasets_root, "SV2TTS", "vocoder") | |
| if args.cpu: | |
| # Hide GPUs from Pytorch to force CPU processing | |
| os.environ["CUDA_VISIBLE_DEVICES"] = "" | |
| # 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 | |
| run_synthesis(args.in_dir, args.out_dir, args.model_dir, modified_hp) | |