mirror of https://github.com/malarinv/tacotron2
64 lines
1.7 KiB
Python
64 lines
1.7 KiB
Python
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from .tts import TTSModel, OUTPUT_SAMPLE_RATE
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import argparse
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from pathlib import Path
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import wave
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def synthesize_corpus(
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corpus_path=Path("corpus.txt"),
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tacotron_path=Path("/path/to/tacotron.pt"),
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waveglow_path=Path("/path/to/waveglow.pt"),
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output_dir=Path("./out_dir"),
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):
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tts_model = TTSModel(str(tacotron_path), str(waveglow_path))
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output_dir.mkdir(exist_ok=True)
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for (i, line) in enumerate(open(str(corpus_path)).readlines()):
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print(f'synthesizing... "{line.strip()}"')
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data = tts_model.synth_speech(line.strip())
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out_file = str(output_dir / Path(str(i) + ".wav"))
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with wave.open(out_file, "w") as out_file_h:
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out_file_h.setnchannels(1) # mono
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out_file_h.setsampwidth(2) # pcm int16 2bytes
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out_file_h.setframerate(OUTPUT_SAMPLE_RATE)
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out_file_h.writeframes(data)
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def main():
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parser = argparse.ArgumentParser(
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formatter_class=argparse.ArgumentDefaultsHelpFormatter
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)
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parser.add_argument(
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"-t",
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"--tacotron_path",
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type=Path,
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default="./tacotron.pt",
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help="Path to a tacotron2 model",
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)
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parser.add_argument(
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"-w",
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"--waveglow_path",
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type=Path,
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default="./waveglow_256channels.pt",
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help="Path to a waveglow model",
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)
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parser.add_argument(
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"-c",
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"--corpus_path",
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type=Path,
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default="./corpus.txt",
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help="Path to a corpus file",
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)
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parser.add_argument(
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"-o",
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"--output_dir",
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type=Path,
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default="./synth",
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help="Path to a output directory",
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)
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args = parser.parse_args()
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synthesize_corpus(**vars(args))
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if __name__ == "__main__":
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main()
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