47 citations · 111 across the 9 of their papers we have counts for
10 papers
Fast Yet Effective Speech Emotion Recognition with Self-distillation
Zhao Ren, Thanh Tam Nguyen, Yi Chang +1
Speech emotion recognition (SER) is the task of recognising human's emotional states from speech. SER is extremely prevalent in helping dialogue systems to truly understand our emo…
Example-based Explanations with Adversarial Attacks for Respiratory Sound Analysis
Yi Chang, Zhao Ren, Thanh Tam Nguyen +2
Respiratory sound classification is an important tool for remote screening of respiratory-related diseases such as pneumonia, asthma, and COVID-19. To facilitate the interpretabili…
Robust Federated Learning Against Adversarial Attacks for Speech Emotion Recognition
Yi Chang, Sofiane Laridi, Zhao Ren +3
Due to the development of machine learning and speech processing, speech emotion recognition has been a popular research topic in recent years. However, the speech data cannot be p…
The EIHW-GLAM Deep Attentive Multi-model Fusion System for Cough-based COVID-19 Recognition in the DiCOVA 2021 Challenge
Zhao Ren, Yi Chang, Björn W. Schuller
Aiming to automatically detect COVID-19 from cough sounds, we propose a deep attentive multi-model fusion system evaluated on the Track-1 dataset of the DiCOVA 2021 challenge. Thre…
Deep Attention-based Representation Learning for Heart Sound Classification
Zhao Ren, Kun Qian, Fengquan Dong +3
Cardiovascular diseases are the leading cause of deaths and severely threaten human health in daily life. On the one hand, there have been dramatically increasing demands from both…
CAA-Net: Conditional Atrous CNNs with Attention for Explainable Device-robust Acoustic Scene Classification
Zhao Ren, Qiuqiang Kong, Jing Han +2
Acoustic Scene Classification (ASC) aims to classify the environment in which the audio signals are recorded. Recently, Convolutional Neural Networks (CNNs) have been successfully…