3 citations · 8 across the 19 of their papers we have counts for
6 papers · 1 filter
Linguistic Distance Segregates Latent Representations in Automatic Speech Recognition Systems
Ting-Hui Cheng, Line Katrine Harder Clemmensen, Sneha Das
While automatic speech recognition (ASR) models have achieved remarkable improvements in recent years, performance disparities persist across different speaker populations. One suc…
From Vision to Text: A Compact Multimodal Approach for Robust, Cross-Domain Presentation Attack Detection on ID Cards
Qingwen Zeng, Juan E. Tapia, Sneha Das +1
Cross-domain shifts challenge Presentation Attack Detection (PAD) on ID Cards, given the restricted data available due to privacy concerns. This work proposes a compact multimodal…
Modelling Emotions is an Elusive Pursuit in Affective Computing
Anders Rolighed Larsen, Sneha Das, Nicole Nadine Lønfeldt +2
Affective computing - combining sensor technology, machine learning, and psychology - have been studied for over three decades and is employed in AI-powered technologies to enhance…
Beyond Word Error Rate: Auditing the Diversity Tax in Speech Recognition through Dataset Cartography
Ting-Hui Cheng, Line H. Clemmensen, Sneha Das
Automatic speech recognition (ASR) systems are predominantly evaluated using the Word Error Rate (WER). However, raw token-level metrics fail to capture semantic fidelity and routi…
Measuring What VLMs Don't Say: Validation Metrics Hide Clinical Terminology Erasure in Radiology Report Generation
Aditya Parikh, Aasa Feragen, Sneha Das +1
Reliable deployment of Vision-Language Models (VLMs) in radiology requires validation metrics that go beyond surface-level text similarity to ensure clinical fidelity and demograph…
Intra-Fairness Dynamics: The Bias Spillover Effect in Targeted LLM Alignment
Eva Paraschou, Line Harder Clemmensen, Sneha Das
Conventional large language model (LLM) fairness alignment largely focuses on mitigating bias along single sensitive attributes, overlooking fairness as an inherently multidimensio…