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CFAD

CFAD: A Chinese Dataset for Fake Audio Detection

Install / Use

/learn @ADDchallenge/CFAD
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

README

CFAD Baseline Systems

Baseline systems are grouped by task:

  • Fake Audio Detection
  • Fake Algorithm Recognition

Please find more details from the paper.


For Fake Audio Detection Task:

Reference code is provided for the following systems:

  • Baseline-LFCC-GMM (Python) LFCC feature extraction with GMM classifier
  • Baseline-LFCC-LCNN (PyTorch) LFCC feature extraction with LCNN classifier (DNN)
  • Baseline-RawNet2 (PyTorch)End-to-End DNN classifier

For Fake Algorithm Recognition Task:

Reference code is provided for the following systems:

  • Baseline-LFCC-x-Vector (PyTorch) LFCC feature extraction with TDNN classifier (DNN)
  • Baseline-LFCC-LCNN (PyTorch) LFCC feature extraction with LCNN classifier (DNN)

Dataset Download

The CFAD dataset is publicly available and can be downloaded from Zenodo https://zenodo.org/record/6635521\#.Ysjq4nZBw2x

View on GitHub
GitHub Stars23
CategoryDevelopment
Updated4mo ago
Forks1

Languages

Python

Security Score

72/100

Audited on Nov 7, 2025

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