01Yassine commited on
Commit
25bab08
Β·
verified Β·
1 Parent(s): 5a554f7

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +23 -9
README.md CHANGED
@@ -2,23 +2,37 @@
2
  license: apache-2.0
3
  title: DeepFense
4
  sdk: streamlit
5
- emoji: πŸš€
6
  colorFrom: blue
7
  colorTo: indigo
 
8
  ---
9
 
10
- # πŸ›‘οΈ DeepFense: Defending Against Audio Deepfakes πŸŽ™οΈ
11
 
12
- πŸ‘‹ **Welcome to the official Hugging Face page of DeepFense!**
13
 
14
- We are the **DeepFense Team**, a group of researchers in Berlin, Stuttgart, and Tokyo. Our collective research focuses on deepfake detection in audio, exploring robust, efficient, and explainable methods for countering synthetic speech attacks.
15
 
16
- This page will serve as a hub for:
 
 
 
17
 
18
- πŸš€ **Cutting-edge models** for detecting synthetic and manipulated speech
 
 
 
 
 
19
 
20
- πŸ“œ **Research papers** on efficient and scalable audio deepfake detection
 
21
 
22
- πŸ“ **Blogs & insights** on the latest advancements in audio forensics
 
 
23
 
24
- Stay tuned for updates, and feel free to reach out to us! πŸ€–πŸ”
 
 
 
2
  license: apache-2.0
3
  title: DeepFense
4
  sdk: streamlit
5
+ emoji: πŸ›‘οΈ
6
  colorFrom: blue
7
  colorTo: indigo
8
+ pinned: true
9
  ---
10
 
11
+ # πŸ›‘οΈ DeepFense: Modular Deepfake Audio Detection πŸŽ™οΈ
12
 
13
+ πŸ‘‹ **Welcome to the official Hugging Face home of the DeepFense Framework!**
14
 
15
+ 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.
16
 
17
+ ---
18
+
19
+ ### πŸš€ The Framework at a Glance
20
+ 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 configsβ€”no code changes required.
21
 
22
+ * **Modular Design:** Mix-and-match components like `WavLM`, `HuBERT`, or `EAT` (Frontends) with `AASIST`, `Nes2Net`, or `ECAPA-TDNN` (Backends).
23
+ * **Hugging Face Native:** Access **455+ pretrained models** and **12 benchmark datasets** (ASVSpoof19, CompSpoof, etc.) directly through our CLI.
24
+ * **Reproducible Research:** Automatic tracking of EER, minDCF, and F1 metrics with built-in WandB logging.
25
+ * **Rich Augmentations:** Built-in RawBoost, RIR, Codec, and more to ensure model robustness.
26
+
27
+ ---
28
 
29
+ ### πŸ› οΈ Quick Start
30
+ Get started with DeepFense in under 5 minutes:
31
 
32
+ ```bash
33
+ # Install the framework
34
+ pip install deepfense
35
 
36
+ # Download a specific model & dataset
37
+ deepfense download dataset CompSpoof
38
+ deepfense download model ASV19_WavLM_Nes2Net_NoAug_Seed42