| import gradio as gr | |
| def render_coming_soon(): | |
| text = r""" | |
| ### **1. More evaluation metrics** | |
| - Accuracy | |
| - Precision, Recall and F1 Score | |
| - minDCF | |
| #### **2. More Datasets and Models:** | |
| **Datasets:** | |
| - MLAAD | |
| - Latin-American-Spanish-Deepfake-Dataset | |
| - CodecFake-Omni | |
| - Hindi audio-video-Deepfake | |
| - SpoofCeleb | |
| - VoiceWukong | |
| - CodecFake Haibin Wu et.al. | |
| - LRPD | |
| - EmoFake | |
| **Models:** | |
| - Wav2Vec2-AASIST | |
| - RawNet3 | |
| - AASIST2 | |
| #### **3. Top performing DF systems live demo** | |
| Run inference using your own audio samples on top performing DF systems. Get probability scores for each system | |
| """ | |
| return gr.Markdown(text) |