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* Init ppg extractor and ppg2mel * add preprocess and training * FIx known issues * Update __init__.py Allow to gen audio * Fix length issue * Fix bug of preparing fid * Fix sample issues * Add UI usage of PPG-vc * Add readme
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import sys | ||
import torch | ||
import argparse | ||
import numpy as np | ||
from utils.load_yaml import HpsYaml | ||
from ppg2mel.train.train_linglf02mel_seq2seq_oneshotvc import Solver | ||
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# For reproducibility, comment these may speed up training | ||
torch.backends.cudnn.deterministic = True | ||
torch.backends.cudnn.benchmark = False | ||
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def main(): | ||
# Arguments | ||
parser = argparse.ArgumentParser(description= | ||
'Training PPG2Mel VC model.') | ||
parser.add_argument('--config', type=str, | ||
help='Path to experiment config, e.g., config/vc.yaml') | ||
parser.add_argument('--name', default=None, type=str, help='Name for logging.') | ||
parser.add_argument('--logdir', default='log/', type=str, | ||
help='Logging path.', required=False) | ||
parser.add_argument('--ckpdir', default='ppg2mel/saved_models/', type=str, | ||
help='Checkpoint path.', required=False) | ||
parser.add_argument('--outdir', default='result/', type=str, | ||
help='Decode output path.', required=False) | ||
parser.add_argument('--load', default=None, type=str, | ||
help='Load pre-trained model (for training only)', required=False) | ||
parser.add_argument('--warm_start', action='store_true', | ||
help='Load model weights only, ignore specified layers.') | ||
parser.add_argument('--seed', default=0, type=int, | ||
help='Random seed for reproducable results.', required=False) | ||
parser.add_argument('--njobs', default=8, type=int, | ||
help='Number of threads for dataloader/decoding.', required=False) | ||
parser.add_argument('--cpu', action='store_true', help='Disable GPU training.') | ||
parser.add_argument('--no-pin', action='store_true', | ||
help='Disable pin-memory for dataloader') | ||
parser.add_argument('--test', action='store_true', help='Test the model.') | ||
parser.add_argument('--no-msg', action='store_true', help='Hide all messages.') | ||
parser.add_argument('--finetune', action='store_true', help='Finetune model') | ||
parser.add_argument('--oneshotvc', action='store_true', help='Oneshot VC model') | ||
parser.add_argument('--bilstm', action='store_true', help='BiLSTM VC model') | ||
parser.add_argument('--lsa', action='store_true', help='Use location-sensitive attention (LSA)') | ||
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### | ||
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paras = parser.parse_args() | ||
setattr(paras, 'gpu', not paras.cpu) | ||
setattr(paras, 'pin_memory', not paras.no_pin) | ||
setattr(paras, 'verbose', not paras.no_msg) | ||
# Make the config dict dot visitable | ||
config = HpsYaml(paras.config) | ||
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np.random.seed(paras.seed) | ||
torch.manual_seed(paras.seed) | ||
if torch.cuda.is_available(): | ||
torch.cuda.manual_seed_all(paras.seed) | ||
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print(">>> OneShot VC training ...") | ||
mode = "train" | ||
solver = Solver(config, paras, mode) | ||
solver.load_data() | ||
solver.set_model() | ||
solver.exec() | ||
print(">>> Oneshot VC train finished!") | ||
sys.exit(0) | ||
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if __name__ == "__main__": | ||
main() |