3 citations · 8 across the 19 of their papers we have counts for
20 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…
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…
Investigating Label Bias and Representational Sources of Age-Related Disparities in Medical Segmentation
Aditya Parikh, Sneha Das, Aasa Feragen
Algorithmic bias in medical imaging can perpetuate health disparities, yet its causes remain poorly understood in segmentation tasks. While fairness has been extensively studied in…
Who Does Your Algorithm Fail? Investigating Age and Ethnic Bias in the MAMA-MIA Dataset
Aditya Parikh, Sneha Das, Aasa Feragen
Deep learning models aim to improve diagnostic workflows, but fairness evaluation remains underexplored beyond classification, e.g., in image segmentation. Unaddressed segmentation…
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…
Examining the Interplay Between Privacy and Fairness for Speech Processing: A Review and Perspective
Anna Leschanowsky, Sneha Das
Speech technology has been increasingly deployed in various areas of daily life including sensitive domains such as healthcare and law enforcement. For these technologies to be eff…
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…
Exploratory Evaluation of Speech Content Masking
Jennifer Williams, Karla Pizzi, Paul-Gauthier Noe +1
Most recent speech privacy efforts have focused on anonymizing acoustic speaker attributes but there has not been as much research into protecting information from speech content.…
On Crowdsourcing-design with Comparison Category Rating for Evaluating Speech Enhancement Algorithms
Angélica S. Z. Suárez, Clément Laroche, Line H. Clemmensen +1
Speech enhancement techniques improve the quality or the intelligibility of an audio signal by removing unwanted noise. It is used as preprocessing in numerous applications such as…
Interpretability by design using computer vision for behavioral sensing in child and adolescent psychiatry
Flavia D. Frumosu, Nicole N. Lønfeldt, A. -R. Cecilie Mora-Jensen +4
Observation is an essential tool for understanding and studying human behavior and mental states. However, coding human behavior is a time-consuming, expensive task, in which relia…
Continuous Metric Learning For Transferable Speech Emotion Recognition and Embedding Across Low-resource Languages
Sneha Das, Nicklas Leander Lund, Nicole Nadine Lønfeldt +2
Speech emotion recognition~(SER) refers to the technique of inferring the emotional state of an individual from speech signals. SERs continue to garner interest due to their wide a…
Towards Transferable Speech Emotion Representation: On loss functions for cross-lingual latent representations
Sneha Das, Nicole Nadine Lønfeldt, Anne Katrine Pagsberg +1
In recent years, speech emotion recognition (SER) has been used in wide ranging applications, from healthcare to the commercial sector. In addition to signal processing approaches,…
Enhancement by postfiltering for speech and audio coding in ad-hoc sensor networks
Sneha Das, Tom Bäckström
Enhancement algorithms for wireless acoustics sensor networks~(WASNs) are indispensable with the increasing availability and usage of connected devices with microphones. Convention…