1 citations · 1 across the 8 of their papers we have counts for
8 papers
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…
Deep Speech Synthesis from Multimodal Articulatory Representations
Peter Wu, Bohan Yu, Kevin Scheck +6
The amount of articulatory data available for training deep learning models is much less compared to acoustic speech data. In order to improve articulatory-to-acoustic synthesis pe…
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…
Breaking Resource Barriers in Speech Emotion Recognition via Data Distillation
Yi Chang, Zhao Ren, Zhonghao Zhao +4
Speech emotion recognition (SER) plays a crucial role in human-computer interaction. The emergence of edge devices in the Internet of Things (IoT) presents challenges in constructi…
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…
STAA-Net: A Sparse and Transferable Adversarial Attack for Speech Emotion Recognition
Yi Chang, Zhao Ren, Zixing Zhang +6
Speech contains rich information on the emotions of humans, and Speech Emotion Recognition (SER) has been an important topic in the area of human-computer interaction. The robustne…