68 citations · 68 across the 7 of their papers we have counts for
7 papers
Beyond saliency: enhancing explanation of speech emotion recognition with expert-referenced acoustic cues
Seham Nasr, Zhao Ren, David Johnson
Explainable AI (XAI) for Speech Emotion Recognition (SER) is critical for building transparent, trustworthy models. Current saliency-based methods, adapted from vision, highlight s…
Retain-Free Machine Unlearning for Speech Emotion Recognition
Zhao Ren, Rathi Adarshi Rammohan, Kevin Scheck +3
Speech Emotion Recognition (SER) infers a speaker's emotional state from speech and is increasingly deployed in human-computer interaction, education, and healthcare. Because speec…
An Introduction to Silent Paralinguistics
Zhao Ren, Simon Pistrosch, Buket Coşkun +4
The ability to speak is an inherent part of human nature and fundamental to our existence as a social species. Unfortunately, this ability can be restricted in certain situations,…
End-to-end Acoustic-linguistic Emotion and Intent Recognition Enhanced by Semi-supervised Learning
Zhao Ren, Rathi Adarshi Rammohan, Kevin Scheck +2
Emotion and intent recognition from speech is essential and has been widely investigated in human-computer interaction. The rapid development of social media platforms, chatbots, a…
Investigating Effective Speaker Property Privacy Protection in Federated Learning for Speech Emotion Recognition
Chao Tan, Sheng Li, Yang Cao +2
Federated Learning (FL) is a privacy-preserving approach that allows servers to aggregate distributed models transmitted from local clients rather than training on user data. More…
Diff-ETS: Learning a Diffusion Probabilistic Model for Electromyography-to-Speech Conversion
Zhao Ren, Kevin Scheck, Qinhan Hou +3
Electromyography-to-Speech (ETS) conversion has demonstrated its potential for silent speech interfaces by generating audible speech from Electromyography (EMG) signals during sile…
A Survey of Machine Unlearning
Thanh Tam Nguyen, Thanh Trung Huynh, Zhao Ren +4
Today, computer systems hold large amounts of personal data. Yet while such an abundance of data allows breakthroughs in artificial intelligence, and especially machine learning (M…