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license: apache-2.0
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title: DeepFense
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sdk: streamlit
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# π‘οΈ DeepFense:
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π **Welcome to the official Hugging Face
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We are the **DeepFense Team**
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license: apache-2.0
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title: DeepFense
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sdk: streamlit
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pinned: true
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# π‘οΈ DeepFense: Modular Deepfake Audio Detection ποΈ
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π **Welcome to the official Hugging Face home of the DeepFense Framework!**
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We are the **DeepFense Team**. Our mission is to provide the research community with a robust, modular, and configuration-driven framework for building, training, and evaluating state-of-the-art audio deepfake detectors.
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### π The Framework at a Glance
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DeepFense simplifies audio forensics by decoupling frontends, backends, and loss functions. Whether you are a researcher or a developer, you can swap components via simple YAML configsβno code changes required.
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* **Modular Design:** Mix-and-match components like `WavLM`, `HuBERT`, or `EAT` (Frontends) with `AASIST`, `Nes2Net`, or `ECAPA-TDNN` (Backends).
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* **Hugging Face Native:** Access **455+ pretrained models** and **12 benchmark datasets** (ASVSpoof19, CompSpoof, etc.) directly through our CLI.
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* **Reproducible Research:** Automatic tracking of EER, minDCF, and F1 metrics with built-in WandB logging.
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* **Rich Augmentations:** Built-in RawBoost, RIR, Codec, and more to ensure model robustness.
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### π οΈ Quick Start
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Get started with DeepFense in under 5 minutes:
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```bash
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# Install the framework
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pip install deepfense
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# Download a specific model & dataset
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deepfense download dataset CompSpoof
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deepfense download model ASV19_WavLM_Nes2Net_NoAug_Seed42
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