3 citations · 3 across the 9 of their papers we have counts for
9 papers
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…
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…
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…
The Cost-Benefit of Interdisciplinarity in AI for Mental Health
Katerina Drakos, Eva Paraschou, Simay Toplu +4
Artificial intelligence has been introduced as a way to improve access to mental health support. However, most AI mental health chatbots rely on a limited range of disciplinary inp…
Evaluation of Stress Detection as Time Series Events -- A Novel Window-Based F1-Metric
Harald Vilhelm Skat-Rørdam, Sneha Das, Kathrine Sofie Rasmussen +2
Accurate evaluation of event detection in time series is essential for applications such as stress monitoring with wearable devices, where ground truth is typically annotated as si…
EmoTale: An Enacted Speech-emotion Dataset in Danish
Maja J. Hjuler, Harald V. Skat-Rørdam, Line H. Clemmensen +1
While multiple emotional speech corpora exist for commonly spoken languages, there is a lack of functional datasets for smaller (spoken) languages, such as Danish. To our knowledge…
Exploring Local Interpretable Model-Agnostic Explanations for Speech Emotion Recognition with Distribution-Shift
Maja J. Hjuler, Line H. Clemmensen, Sneha Das
We introduce EmoLIME, a version of local interpretable model-agnostic explanations (LIME) for black-box Speech Emotion Recognition (SER) models. To the best of our knowledge, this…
Evaluation of Large Language Models: STEM education and Gender Stereotypes
Smilla Due, Sneha Das, Marianne Andersen +3
Large Language Models (LLMs) have an increasing impact on our lives with use cases such as chatbots, study support, coding support, ideation, writing assistance, and more. Previous…