research
∙
10/20/2021
Time-Domain Mapping Based Single-Channel Speech Separation With Hierarchical Constraint Training
Single-channel speech separation is required for multi-speaker speech re...
share
research
∙
09/16/2020
Multi-Label Activity Recognition using Activity-specific Features
We introduce an approach to multi-label activity recognition by extracti...
research
∙
04/15/2019
RHR-Net: A Residual Hourglass Recurrent Neural Network for Speech Enhancement
Most current speech enhancement models use spectrogram features that req...
research
∙
12/06/2018
Tri-axial Self-Attention for Concurrent Activity Recognition
We present a system for concurrent activity recognition. To extract feat...
research
∙
05/22/2018
Multimodal Affective Analysis Using Hierarchical Attention Strategy with Word-Level Alignment
Multimodal affective computing, learning to recognize and interpret huma...
research
∙
02/22/2018
Deep Multimodal Learning for Emotion Recognition in Spoken Language
In this paper, we present a novel deep multimodal framework to predict h...
research
∙
09/16/2017
Process-oriented Iterative Multiple Alignment for Medical Process Mining
Adapted from biological sequence alignment, trace alignment is a process...
research
∙
02/16/2017
Evaluation of Trace Alignment Quality and its Application in Medical Process Mining
Trace alignment algorithms have been used in process mining for discover...
research
∙
02/10/2017
Online People Tracking and Identification with RFID and Kinect
We introduce a novel, accurate and practical system for real-time people...
research
∙
02/06/2017
