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* Init App * init server.py (#93) * init server.py * Update requirements.txt Add requirement Co-authored-by: auau <auau@test.com> Co-authored-by: babysor00 <babysor00@gmail.com> * Run web.py！ Run web.py！ * Restruct readme and add instruction to use web server * fix training preprocess of vocoder Co-authored-by: balala <Ozgay@users.noreply.github.com> Co-authored-by: auau <auau@test.com>
60 lines
2.7 KiB
Python
60 lines
2.7 KiB
Python
from synthesizer.synthesize import run_synthesis
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from synthesizer.hparams import hparams
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from utils.argutils import print_args
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import argparse
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import os
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if __name__ == "__main__":
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class MyFormatter(argparse.ArgumentDefaultsHelpFormatter, argparse.RawDescriptionHelpFormatter):
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pass
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parser = argparse.ArgumentParser(
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description="Creates ground-truth aligned (GTA) spectrograms from the vocoder.",
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formatter_class=MyFormatter
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)
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parser.add_argument("datasets_root", type=str, help=\
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"Path to the directory containing your SV2TTS directory. If you specify both --in_dir and "
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"--out_dir, this argument won't be used.")
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parser.add_argument("-m", "--model_dir", type=str,
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default="synthesizer/saved_models/mandarin/", help=\
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"Path to the pretrained model directory.")
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parser.add_argument("-i", "--in_dir", type=str, default=argparse.SUPPRESS, help= \
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"Path to the synthesizer directory that contains the mel spectrograms, the wavs and the "
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"embeds. Defaults to <datasets_root>/SV2TTS/synthesizer/.")
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parser.add_argument("-o", "--out_dir", type=str, default=argparse.SUPPRESS, help= \
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"Path to the output vocoder directory that will contain the ground truth aligned mel "
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"spectrograms. Defaults to <datasets_root>/SV2TTS/vocoder/.")
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parser.add_argument("--hparams", default="",
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help="Hyperparameter overrides as a comma-separated list of name=value "
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"pairs")
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parser.add_argument("--no_trim", action="store_true", help=\
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"Preprocess audio without trimming silences (not recommended).")
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parser.add_argument("--cpu", action="store_true", help=\
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"If True, processing is done on CPU, even when a GPU is available.")
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args = parser.parse_args()
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print_args(args, parser)
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modified_hp = hparams.parse(args.hparams)
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if not hasattr(args, "in_dir"):
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args.in_dir = os.path.join(args.datasets_root, "SV2TTS", "synthesizer")
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if not hasattr(args, "out_dir"):
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args.out_dir = os.path.join(args.datasets_root, "SV2TTS", "vocoder")
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if args.cpu:
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# Hide GPUs from Pytorch to force CPU processing
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os.environ["CUDA_VISIBLE_DEVICES"] = ""
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# Verify webrtcvad is available
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if not args.no_trim:
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try:
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import webrtcvad
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except:
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raise ModuleNotFoundError("Package 'webrtcvad' not found. This package enables "
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"noise removal and is recommended. Please install and try again. If installation fails, "
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"use --no_trim to disable this error message.")
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del args.no_trim
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run_synthesis(args.in_dir, args.out_dir, args.model_dir, modified_hp)
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