Abstract: Learning-based a posteriori speech presence probability (SPP) estimation has shown high accuracy in non-stationary noise environments. In this work, we propose using multi-channel ...
Abstract: Hypertension is a critical global health concern, necessitating accurate prediction models and effective prescription decisions to mitigate its risks. This study proposes a hybrid machine ...