52 lines
2.0 KiB
Python
52 lines
2.0 KiB
Python
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import argparse
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import numpy as np
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import soundfile as sf
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import os
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from pathlib import Path
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import paddle
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import parakeet
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from parakeet.models.waveflow import UpsampleNet, WaveFlow, ConditionalWaveFlow
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from parakeet.utils import layer_tools, checkpoint
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from config import get_cfg_defaults
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def main(config, args):
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paddle.set_device(args.device)
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model = ConditionalWaveFlow.from_pretrained(config, args.checkpoint_path)
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layer_tools.recursively_remove_weight_norm(model)
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model.eval()
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mel_dir = Path(args.input).expanduser()
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output_dir = Path(args.output).expanduser()
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output_dir.mkdir(parents=True, exist_ok=True)
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for file_path in mel_dir.iterdir():
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mel = np.load(str(file_path))
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audio = model.predict(mel)
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audio_path = output_dir / (os.path.splitext(file_path.name)[0] + ".wav")
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sf.write(audio_path, audio, config.data.sample_rate)
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print("[synthesize] {} -> {}".format(file_path, audio_path))
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if __name__ == "__main__":
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config = get_cfg_defaults()
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parser = argparse.ArgumentParser(description="generate mel spectrogram with TransformerTTS.")
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parser.add_argument("--config", type=str, metavar="FILE", help="extra config to overwrite the default config")
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parser.add_argument("--checkpoint_path", type=str, help="path of the checkpoint to load.")
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parser.add_argument("--input", type=str, help="path of directory containing mel spectrogram (in .npy format)")
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parser.add_argument("--output", type=str, help="path to save outputs")
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parser.add_argument("--device", type=str, default="cpu", help="device type to use.")
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parser.add_argument("--opts", nargs=argparse.REMAINDER, help="options to overwrite --config file and the default config, passing in KEY VALUE pairs")
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parser.add_argument("-v", "--verbose", action="store_true", help="print msg")
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args = parser.parse_args()
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if args.config:
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config.merge_from_file(args.config)
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if args.opts:
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config.merge_from_list(args.opts)
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config.freeze()
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print(config)
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print(args)
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main(config, args)
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