T. Nguyễn

Disentangled Global-Local Feature Learning with E-Branchformer for Audio Deepfake Detection

A novel E-Branchformer-based architecture that effectively leverages self-supervised speech representations for audio deepfake detection and employs parallel branches to simultaneously capture global contextual dependencies through multi-head self-attention and local temporal patterns through convolutional processing.