Human activity recognition (HAR) using IMU sensors, namely accelerometer...
Explainability of neural network prediction is essential to understand
f...
It has been shown that the intelligibility of noisy speech can be improv...
Deep neural networks (DNNs) have been successfully used for multichannel...
In this work, we propose a new model called triple-path attentive recurr...
Deep neural networks (DNNs) represent the mainstream methodology for
sup...
In this work, we exploit speech enhancement for improving a recurrent ne...
We propose a dual-path self-attention recurrent neural network (DP-SARNN...
Speech enhancement in the time domain is becoming increasingly popular i...
In recent years, supervised approaches using deep neural networks (DNNs)...