piotrkawa/deepfake-whisper-features
Implementation of the paper "Improved DeepFake Detection Using Whisper Features"
This project helps identify whether an audio recording of a person's voice is genuine or a synthetic deepfake. It takes audio files, potentially from publicly available datasets or your own collection, and determines if the voice has been manipulated. This tool is for researchers and forensic analysts working in audio authenticity and deepfake detection.
112 stars. No commits in the last 6 months.
Use this if you need to reliably detect synthetic or manipulated speech in audio recordings, especially for research or forensic purposes.
Not ideal if you are looking for a simple, out-of-the-box application for everyday deepfake detection without needing to configure models or manage datasets.
Stars
112
Forks
10
Language
Python
License
MIT
Category
Last pushed
Apr 09, 2025
Commits (30d)
0
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