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@@ -20,33 +20,4 @@ This repository is designed to be a one-stop-shop for all your RVC needs. It hos
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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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-
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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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-
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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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-
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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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-
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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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-
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- # Convert voice
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- converted_features = model.convert(source_features, target_features)
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-
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- # Generate audio from converted features
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- converted_wav = model.generate_audio(converted_features)
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-
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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!