Author

Abderrahmane Issam

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#natural language process... Preprint Sep 2026

A Probe Shift Is Not a Fairness Fix: The Limits of Representation Steering in Speech Models

Automatic speech recognition (ASR) systems exhibit unequal error rates across speaker groups, motivating interventions on their internal representations. We ask whether speaker-linked attributes that are linearly readable from pretrained ASR encoders yield useful directions for reducing group word-error-rate (WER) gaps...

Nicolas Bourrel, Abderrahmane Issam, Gerasimos Spanakis · 0 citations

#natural language process... Preprint Sep 2026

Align, Integrate, and Fire: Efficient Token-Level Alignment for Zero-Shot SpeechLLMs

Aligned Continuous Integrate-and-Fire, a highly efficient framework for zero-shot speech processing that dynamically compresses continuous acoustic frames into the exact discrete token length of the target text utilizing explicit Dynamic Time Warping alignments is introduced.

Abderrahmane Issam, Yusuf Can Semerci, Jan Scholtes et al. · 0 citations