Chong-Xin Gan

Replacing standard residual connections with manifold-constrained hyper-connections boosts speaker recognition performance across multiple architectures.

Emotional inertia can significantly enhance emotion recognition accuracy in conversation, leading to a leap in performance over traditional methods.

Speaker recognition accuracy improves dramatically when leveraging a U-Net-based fusion of noisy and enhanced speech, coupled with a novel training strategy.