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  - **Real-Time Detection:** Analyze audio files quickly and efficiently to determine authenticity.
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  - **Sliding Window Processing:** Processes long audio files in segments for accurate classification.
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  - **ONNX Optimized:** Faster inference compared to traditional formats.
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- - **Interactive Demo:** Test the model using our Streamlit application.
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  ---
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  ## 📚 Model Overview
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  - **Architecture:** RawNet-based Neural Network
 
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  - **Real-Time Detection:** Analyze audio files quickly and efficiently to determine authenticity.
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  - **Sliding Window Processing:** Processes long audio files in segments for accurate classification.
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  - **ONNX Optimized:** Faster inference compared to traditional formats.
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+ - **Interactive Demo:** Test the model using [our Streamlit application](https://huggingface.co/spaces/Mrkomiljon/DeepVoiceGuard).
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  ---
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  ## 📚 Model Overview
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  - **Architecture:** RawNet-based Neural Network