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README.md
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We invite you to explore this repository, leverage its resources, and contribute to the advancement of voice conversion technology. Whether you're a seasoned researcher or a budding enthusiast, we believe you'll find something of value here.
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Happy exploring, and let's shape the future of voice conversion together!
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```python
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def convert_voice(source_audio, target_audio, model):
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"""
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A simple function to convert the voice of the source audio to match the target audio using a given model.
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Args:
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source_audio (str): Path to the source audio file.
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target_audio (str): Path to the target audio file.
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model (Object): Trained model for voice conversion.
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Returns:
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numpy.ndarray: Converted audio data.
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"""
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# Load audio files
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source_wav, _ = librosa.load(source_audio, sr=model.sample_rate)
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target_wav, _ = librosa.load(target_audio, sr=model.sample_rate)
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# Extract features
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source_features = model.extract_features(source_wav)
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target_features = model.extract_features(target_wav)
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# Convert voice
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converted_features = model.convert(source_features, target_features)
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# Generate audio from converted features
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converted_wav = model.generate_audio(converted_features)
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return converted_wav
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We invite you to explore this repository, leverage its resources, and contribute to the advancement of voice conversion technology. Whether you're a seasoned researcher or a budding enthusiast, we believe you'll find something of value here.
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Happy exploring, and let's shape the future of voice conversion together!
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