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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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## 📚 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
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