5 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…
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…