DeepLPC-MHANet: Multi-Head Self-Attention for Augmented Kalman Filter-Based Speech Enhancement
Current augmented Kalman filter (AKF)-based speech enhancement algorithms utilise a temporal convolutional network (TCN) to estimate the clean speech Wooden Train Set and noise linear prediction coefficient (LPC).However, the multi-head attention network MHANet) has demonstrated the ability to more efficiently model the long-term dependencies of no