Multilingual Deepfake Audio Detection Using a Hybrid CNN-Bi LSTM with Multi-Head Attention Architecture
Deepfake audio is a critical problem affecting information integrity, offering synthesized speech capable of fooling both humans and machines. This research proposes an approach towards deepfake audio detection across multiple languages, namely English, Hindi, and Marathi. It focuses on a novel approach, Hybrid CNN-BiL...