
Human brain activity displays distinct patterns when exposed to fake versus real audio, offering insights for deepfake detection algorithms.


coremsg

human-brain-activity-in-response-to-real-and-fake-audio


Human Brain Activity in Response to Real and Fake Audio


title_rewrite


Developing real-time deepfake audio detection models for communication platforms is crucial for enhancing audio stream security and ensuring robust detection capabilities.


real-time-deepfake-audio-detection-system-development-in-communication-platforms


Real-Time Deepfake Audio Detection System Development in Communication Platforms



The study proposes a pipeline for detecting fake environmental sounds using CLAP audio embeddings, achieving high accuracy in identifying deepfake audio.


detection-of-deepfake-environmental-audio-a-study-on-fake-sound-detection-using-clap-embeddings


Detection of Deepfake Environmental Audio: A Study on Fake Sound Detection Using CLAP Embeddings



Combining human intuition with machine precision enhances deepfake detection capabilities.


ai-assisted-tagging-of-deepfake-audio-calls-using-challenge-response-enhancing-detection-with-human-ai-collaboration


AI-assisted Tagging of Deepfake Audio Calls using Challenge-Response: Enhancing Detection with Human-AI Collaboration
