A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN integration. It improves dynamic lesion detection, temporal ...

Abstract: Human Activity Recognition (HAR) using Wi-Fi Channel State Information (CSI) is a promising device-free, noninvasive sensing approach. This study compares deep learning architectures, ...

1 Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia 2 Center of Excellence in Intelligent Engineering Systems (CEIES), King ...

Introduction: Traditional approaches to improving speech perception in noise (SPIN) for hearing-aid users have centered on directional microphones and remote wireless technologies. Recent advances in ...

Abstract: Speech emotional recognition (SER) focuses on developing computers' comprehension and response to human emotional tones and is a key field of research in human-machine interaction. This ...

Official PyTorch implementation and pretrained models for: ResoNet: A Synergistic Deep Learning Architecture for Robust Cross-Corpus Speech Emotion Recognition This repository provides a complete ...

At the Re-Work Deep Learning Summit in Boston, Chris Lott, an artificial intelligence researcher at Qualcomm, gave a glimpse into his team's work on a new voice recognition program. The system, which ...