media-voicefake-benchmark
CommunityBenchmark voice deepfake detection with SSML.
Authorwuyoscar
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This template provides a structured benchmark for evaluating voice deepfake detection pipelines using SSML-formatted samples across five attack categories, ensuring realistic, controlled test data.
Core Features & Use Cases
- SSML-based attack samples to assess robustness of detection systems.
- Voice-attack coverage (voice cloning, emotion manipulation, identity spoofing, ransom deepfake, and authority impersonation) for comprehensive testing.
- Reusable framework for security research and benchmark development, with an explicit replacement step for PLACEHOLDER_SPEECH to simulate credible social-engineering scripts.
Quick Start
Replace PLACEHOLDER_SPEECH with realistic SSML content across all attack categories and run the validation workflow.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: media-voicefake-benchmark Download link: https://github.com/wuyoscar/ISC-Bench/archive/main.zip#media-voicefake-benchmark Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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