WeDefense: A Toolkit to Defend Against Fake Audio
Blueprint for training and deploying a machine learning model that effectively detects synthetic and modified audio content.
This project implements an end-to-end pipeline for detecting AI-generated (deepfake) speech using a lightweight 2D convolutional neural network operating on log-mel spectrograms.
An advanced, LLM-powered toolkit providing comprehensive capabilities for ethical synthetic media detection, analysis, and responsible content generation.
2024 SW중심대학 경진대회 AI 부문 (Dacon) 10위 솔루션
Add a description, image, and links to the fake-audio-detection topic page so that developers can more easily learn about it.
To associate your repository with the fake-audio-detection topic, visit your repo's landing page and select "manage topics."