EMBNet: Multi-scale feature learning with efficient channel attention for deepfake speech detection.
EMBNet is proposed, a task-oriented deepfake speech detection framework that integrates efficient channel attention (ECA) with a multi-scale bottleneck to enhance the representation of subtle acoustic anomalies and may support forensic audio authenticity assessment by improving the discrimination between genuine and ma...