research
∙
11/07/2022
XAI-BayesHAR: A novel Framework for Human Activity Recognition with Integrated Uncertainty and Shapely Values
Human activity recognition (HAR) using IMU sensors, namely accelerometer...
share
research
∙
11/02/2022
XAI-Increment: A Novel Approach Leveraging LIME Explanations for Improved Incremental Learning
Explainability of neural network prediction is essential to understand f...
research
∙
10/24/2022
Time-Domain Speech Enhancement for Robust Automatic Speech Recognition
It has been shown that the intelligibility of noisy speech can be improv...
research
∙
10/22/2021
TADRN: Triple-Attentive Dual-Recurrent Network for Ad-hoc Array Multichannel Speech Enhancement
Deep neural networks (DNNs) have been successfully used for multichannel...
research
∙
10/20/2021
TPARN: Triple-path Attentive Recurrent Network for Time-domain Multichannel Speech Enhancement
In this work, we propose a new model called triple-path attentive recurr...
research
∙
05/26/2021
Self-attending RNN for Speech Enhancement to Improve Cross-corpus Generalization
Deep neural networks (DNNs) represent the mainstream methodology for sup...
research
∙
11/07/2020
Dual Application of Speech Enhancement for Automatic Speech Recognition
In this work, we exploit speech enhancement for improving a recurrent ne...
research
∙
10/23/2020
Dual-path Self-Attention RNN for Real-Time Speech Enhancement
We propose a dual-path self-attention recurrent neural network (DP-SARNN...
research
∙
09/03/2020
Dense CNN with Self-Attention for Time-Domain Speech Enhancement
Speech enhancement in the time domain is becoming increasingly popular i...
research
∙
02/10/2020
