Abstract: In this paper, a voice activity detector is proposed on the basis of Gaussian modeling of noise in the spectro-temporal space. Spectro-temporal space is obtained from auditory cortical ...

Abstract: A maximum a posteriori probability (MAP) approach is used to derive the optimal equalizer for binary signals transmitted at a constant rate over a dispersive and noisy channel. The optimal ...

This important study demonstrates the significance of incorporating biological constraints in training neural networks to develop models that make accurate predictions under novel conditions. By ...