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20222026
most citedAdversarial Representation Learning for Robust Privacy Preservation in Audio

10 citations · 28 across the 11 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

eess.AS2023

Privacy-preserving Representation Learning for Speech Understanding

Minh Tran, Mohammad Soleymani

Existing privacy-preserving speech representation learning methods target a single application domain. In this paper, we present a novel framework to anonymize utterance-level spee…

eess.AS2023★ 1 cited

Personalized Adaptation with Pre-trained Speech Encoders for Continuous Emotion Recognition

Minh Tran, Yufeng Yin, Mohammad Soleymani

There are individual differences in expressive behaviors driven by cultural norms and personality. This between-person variation can result in reduced emotion recognition performan…

cs.CV2023★ 2 cited

LibreFace: An Open-Source Toolkit for Deep Facial Expression Analysis

Di Chang, Yufeng Yin, Zongjian Li +2

Facial expression analysis is an important tool for human-computer interaction. In this paper, we introduce LibreFace, an open-source toolkit for facial expression analysis. This o…

cs.SD2023★ 7 cited

Representation Learning for Audio Privacy Preservation using Source Separation and Robust Adversarial Learning

Diep Luong, Minh Tran, Shayan Gharib +2

Privacy preservation has long been a concern in smart acoustic monitoring systems, where speech can be passively recorded along with a target signal in the system's operating envir…

cs.SD2023★ 10 cited

Adversarial Representation Learning for Robust Privacy Preservation in Audio

Shayan Gharib, Minh Tran, Diep Luong +2

Sound event detection systems are widely used in various applications such as surveillance and environmental monitoring where data is automatically collected, processed, and sent t…

cs.CV2023★ 5 cited

Multi-modal Facial Action Unit Detection with Large Pre-trained Models for the 5th Competition on Affective Behavior Analysis in-the-wild

Yufeng Yin, Minh Tran, Di Chang +2

Facial action unit detection has emerged as an important task within facial expression analysis, aimed at detecting specific pre-defined, objective facial expressions, such as lip…