117 citations · 126 across the 4 of their papers we have counts for
4 papers
Context-Aware Deep Learning for Multi Modal Depression Detection
Genevieve Lam, Huang Dongyan, Weisi Lin
In this study, we focus on automated approaches to detect depression from clinical interviews using multi-modal machine learning (ML). Our approach differentiates from other succes…
LSSED: a large-scale dataset and benchmark for speech emotion recognition
Weiquan Fan, Xiangmin Xu, Xiaofen Xing +2
Speech emotion recognition is a vital contributor to the next generation of human-computer interaction (HCI). However, current existing small-scale databases have limited the devel…
IEEE SLT 2021 Alpha-mini Speech Challenge: Open Datasets, Tracks, Rules and Baselines
Yihui Fu, Zhuoyuan Yao, Weipeng He +9
The IEEE Spoken Language Technology Workshop (SLT) 2021 Alpha-mini Speech Challenge (ASC) is intended to improve research on keyword spotting (KWS) and sound source location (SSL)…
Statistical Parametric Speech Synthesis Using Generative Adversarial Networks Under A Multi-task Learning Framework
Shan Yang, Lei Xie, Xiao Chen +4
In this paper, we aim at improving the performance of synthesized speech in statistical parametric speech synthesis (SPSS) based on a generative adversarial network (GAN). In parti…