The field of voice separation has made revolutionary progress in addressing the challenging 'cocktail party problem' with the ...

Abstract: Optimal control and planning with safety considerations constitute a fundamental challenge in model predictive control (MPC) applications, which has recently been addressed by integrating ...

This study presents valuable computational findings on the neural basis of learning new motor memories without interfering with previously learned behaviours using recurrent neural networks. The ...

Summary: Researchers have developed a new tool, bimodularity, that adds directionality to community detection in networks. Unlike traditional methods that only cluster nodes, this approach groups ...

Abstract: In this work, we present DeepVoice, a comprehensive speaker recognition system that uses Recurrent Neural Networks (RNNs) and Convolutional Neural Networks (CNNs) to improve the accuracy of ...

Neural networks aren’t the only game in artificial intelligence, but you’d be forgiven for thinking otherwise after the hot streak sparked by ChatGPT’s arrival in 2022. That model’s abilities, ...