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60 lines
1.5 KiB
Python
60 lines
1.5 KiB
Python
import argparse
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import torch
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import numpy as np
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from models import model_dict
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from utils.data import load_features
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from utils.wav import wavwrite16
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debug = False
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if debug:
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args = type('dummy', (object,),
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{
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'features' : 'features.f32',
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'checkpoint' : 'checkpoint.pth',
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'output' : 'out.wav',
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'version' : 2
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})()
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else:
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parser = argparse.ArgumentParser()
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parser.add_argument('features', type=str, help='feature file')
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parser.add_argument('checkpoint', type=str, help='checkpoint file')
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parser.add_argument('output', type=str, help='output file')
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parser.add_argument('--version', type=int, help='feature version', default=2)
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args = parser.parse_args()
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torch.set_num_threads(2)
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version = args.version
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feature_file = args.features
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checkpoint_file = args.checkpoint
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output_file = args.output
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if not output_file.endswith('.wav'):
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output_file += '.wav'
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checkpoint = torch.load(checkpoint_file, map_location="cpu")
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# check model
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if not 'model' in checkpoint['setup']['lpcnet']:
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print(f'warning: did not find model entry in setup, using default lpcnet')
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model_name = 'lpcnet'
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else:
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model_name = checkpoint['setup']['lpcnet']['model']
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model = model_dict[model_name](checkpoint['setup']['lpcnet']['config'])
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model.load_state_dict(checkpoint['state_dict'])
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data = load_features(feature_file)
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output = model.generate(data['features'], data['periods'], data['lpcs'])
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wavwrite16(output_file, output.numpy(), 16000)
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