MarkHershey/AudioDeepFakeDetection
SUTD 50.039 Deep Learning Course Project (2022 Spring)
This project helps audio forensic experts, content moderators, or anyone needing to verify audio authenticity by distinguishing between real human speech and AI-generated deepfake audio. You input audio clips and it outputs a classification indicating whether the audio is genuine or synthetic. It's designed for professionals who need to identify manipulated voice recordings.
No commits in the last 6 months.
Use this if you need to systematically detect synthetic speech in a collection of audio files to ensure authenticity.
Not ideal if you're looking for a simple, plug-and-play mobile application for quick, on-the-spot audio checks.
Stars
82
Forks
21
Language
Python
License
MIT
Category
Last pushed
Nov 23, 2023
Commits (30d)
0
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