3 papers
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…
cs.CL2025
GETALP@AutoMin 2025: Leveraging RAG to Answer Questions based on Meeting Transcripts
Jeongwoo Kang, Markarit Vartampetian, Felix Herron +3
This paper documents GETALP's submission to the Third Run of the Automatic Minuting Shared Task at SIGDial 2025. We participated in Task B: question-answering based on meeting tran…