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77 lines
2.1 KiB
Python
77 lines
2.1 KiB
Python
import os
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import soundfile as sf
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from neuttsair.neutts import NeuTTSAir
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def main(input_text, ref_audio_path, ref_text, backbone, output_path="output.wav"):
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if not ref_audio_path or not ref_text:
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print("No reference audio or text provided.")
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return None
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# Initialize NeuTTSAir with the desired model and codec
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tts = NeuTTSAir(
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backbone_repo=backbone,
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backbone_device="cpu",
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codec_repo="neuphonic/neucodec",
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codec_device="cpu"
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)
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# Check if ref_text is a path if it is read it if not just return string
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if ref_text and os.path.exists(ref_text):
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with open(ref_text, "r") as f:
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ref_text = f.read().strip()
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print("Encoding reference audio")
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ref_codes = tts.encode_reference(ref_audio_path)
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print(f"Generating audio for input text: {input_text}")
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wav = tts.infer(input_text, ref_codes, ref_text)
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print(f"Saving output to {output_path}")
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sf.write(output_path, wav, 24000)
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if __name__ == "__main__":
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# get arguments from command line
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import argparse
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parser = argparse.ArgumentParser(description="NeuTTSAir Example")
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parser.add_argument(
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"--input_text",
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type=str,
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required=True,
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help="Input text to be converted to speech"
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)
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parser.add_argument(
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"--ref_audio",
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type=str,
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default="./samples/dave.wav",
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help="Path to reference audio file"
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)
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parser.add_argument(
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"--ref_text",
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type=str,
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default="./samples/dave.txt",
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help="Reference text corresponding to the reference audio",
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)
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parser.add_argument(
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"--output_path",
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type=str,
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default="output.wav",
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help="Path to save the output audio"
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)
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parser.add_argument(
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"--backbone",
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type=str,
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default="neuphonic/neutts-air",
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help="Huggingface repo containing the backbone checkpoint"
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)
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args = parser.parse_args()
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main(
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input_text=args.input_text,
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ref_audio_path=args.ref_audio,
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ref_text=args.ref_text,
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backbone=args.backbone,
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output_path=args.output_path,
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)
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