collaborators

5 papers

eess.AS2026

End-to-End Voice Intent Recognition for Spontaneous Human-Drone Interaction with Naive Users

Allan Henry, Solange Rossato, Christian Graff +2

Voice control offers an intuitive alternative to manual drone piloting, yet most existing systems rely on rigid command vocabularies that fail to handle the spontaneous, disfluent…

cs.HC2026

Appraisal Dimensions Generalise Better than Emotion Labels for Cross-Age Affect Recognition in AI-Assisted Healthcare

Hippolyte Fournier, Safaa Azzakhnini, Sina Alisamir +14

The integration of artificial intelligence (AI) into healthcare has advanced significantly, yet affect recognition remains a major challenge, particularly in AI-assisted interventi…

cs.CL2026

Responsible Benchmarking of Fairness for Automatic Speech Recognition

Felix Herron, Ange Richard, François Portet +2

Many studies have shown automatic speech processing (ASR) systems have unequal performance across speakergroups (SG's). However, the manner in which such studies arrive at this con…

cs.CL2026

Identifying and typifying demographic unfairness in phoneme-level embeddings of self-supervised speech recognition models

Felix Herron, Solange Rossato, Alexandre Allauzen +1

Modern automatic speech recognition (ASR) systems have been observed to function better for certain speaker groups (SGs) than others, despite recent gains in overall performance. O…

cs.CL2026

Where Do Self-Supervised Speech Models Become Unfair?

Felix Herron, Maja Hjuler, Solange Rossato +2

Speech encoder models are known to model members of some speaker groups (SGs) better than others. However, there has been little work in establishing why this occurs on a technolog…