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20212026
most citedPredicting speech intelligibility from EEG in a non-linear classification paradigm

14 citations · 17 across the 6 of their papers we have counts for

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5 papers · 1 filter

cs.CL2026

Local Prototype Reconstruction for Text-Compatible Speech-to-LLM Bridge Pretraining

Xinnian Zhao, Chia-Hua Wu, Pu Wang +1

Speech-to-LLM systems often connect a frozen speech encoder to a frozen large language model (LLM) through a small trainable bridge. The bridge is usually treated as plumbing, but…

eess.AS2026

Selective Lookahead for Attention-Based Streaming ASR

Yichen Jia, Bastiaan Tamm, Hugo Van hamme

End-to-end attention-based speech recognition is accurate offline but hard to stream: outputs can depend on future audio, and a little future context per layer makes the lookahead…

cs.MM2026

ROAM-ASD: Robust Open-World Active Speaker Detection with Flexible Multimodal Fusion

Pu Wang, Hugo Van hamme

Active speaker detection (ASD) requires reliable association between visible faces and acoustic speech, yet existing systems often degrade under challenging domains or incomplete o…

eess.AS2026

CGaLore: Curvature-Guided GaLore for Memory-Efficient Continual Adaptation of ASR Foundation Models

Steven Vander Eeckt, Hugo Van hamme

Automatic speech recognition models suffer from catastrophic forgetting when adapted to new domains, accents, or downstream tasks. This problem becomes increasingly important with…

eess.AS2026

Leveraging Beam Search Information for Confidence Estimation in E2E ASR

Yichen Jia, Hugo Van hamme

To estimate confidence for end-to-end Automatic Speech Recognition (ASR) systems, recent research has proposed Confidence Estimation Modules that incorporate features from the back…