Sneha Das

According to our database, Sneha Das authored at least 34 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Towards Fairness under Label Bias in Image Segmentation: Impact, Measurement and Mitigation.

Aditya Parikh, Stella Frank, Sneha Das, Aasa Feragen

CoRR, May, 2026

Beyond Word Error Rate: Auditing the Diversity Tax in Speech Recognition through Dataset Cartography.

Ting-Hui Cheng, Line H. Clemmensen, Sneha Das

CoRR, March, 2026

Measuring What VLMs Don't Say: Validation Metrics Hide Clinical Terminology Erasure in Radiology Report Generation.

Aditya Parikh, Aasa Feragen, Sneha Das, Stella Frank

CoRR, March, 2026

Intra-Fairness Dynamics: The Bias Spillover Effect in Targeted LLM Alignment.

Eva Paraschou, Line Harder Clemmensen, Sneha Das

CoRR, February, 2026

Investigating Label Bias and Representational Sources of Age-Related Disparities in Medical Segmentation.

Aditya Parikh, Sneha Das, Aasa Feragen

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

Who Does Your Algorithm Fail? Investigating Age and Ethnic Bias in the MAMA-MIA Dataset.

Aditya Parikh, Sneha Das, Aasa Feragen

CoRR, October, 2025

The Cost-Benefit of Interdisciplinarity in AI for Mental Health.

Katerina Drakos, Eva Paraschou, Simay Toplu, Line Harder Clemmensen, Christoph Lütge, Nicole Nadine Lønfeldt, Sneha Das

CoRR, October, 2025

Introduction to Speech Processing v2.01.

Tom Bäckström, Okko Räsänen, Abraham Woubie Zewoudie, Pablo Pérez Zarazaga, Liisa Koivusalo, Sneha Das, Esteban Gómez, Mariem Bouafif Mansali, Daniel Ramos, Sudarsana Reddy Kadiri, Paavo Alku, Mohammad Hassan Vali

Dataset, October, 2025

Evaluation of Stress Detection as Time Series Events - A Novel Window-Based F1-Metric.

Harald V. Skat-Rørdam, Sneha Das, Kathrine Sofie Rasmussen, Nicole Nadine Lønfeldt, Line Harder Clemmensen

CoRR, September, 2025

Exploring Local Interpretable Model-Agnostic Explanations for Speech Emotion Recognition with Distribution-Shift.

Maja J. Hjuler, Line H. Clemmensen, Sneha Das

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

EmoTale: An Enacted Speech-emotion Dataset in Danish.

Maja J. Hjuler, Harald V. Skat-Rørdam, Line H. Clemmensen, Sneha Das

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2025

2024

Is it the model or the metric - On robustness measures of deeplearning models.

Zhijin Lyu, Yutong Jin, Sneha Das

CoRR, 2024

Examining the Interplay Between Privacy and Fairness for Speech Processing: A Review and Perspective.

Anna Leschanowsky, Sneha Das

CoRR, 2024

Evaluation of Large Language Models: STEM education and Gender Stereotypes.

Smilla Due, Sneha Das, Marianne Andersen, Berta Plandolit López, Sniff Andersen Nexø, Line H. Clemmensen

CoRR, 2024

Exploratory Evaluation of Speech Content Masking.

Jennifer Williams, Karla Pizzi, Paul-Gauthier Noé, Sneha Das

CoRR, 2024

Anonymizing Speaker Voices: Easy to Imitate, Difficult to Recognize?

Jennifer Williams, Karla Pizzi, Natalia A. Tomashenko, Sneha Das

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

On Crowdsourcing-Design with Comparison Category Rating for Evaluating Speech Enhancement Algorithms.

Angélica S. Z. Suárez, Clément Laroche, Line H. Clemmensen, Sneha Das

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Interpretability by design using computer vision for behavioral sensing in child and adolescent psychiatry.

Flavia D. Frumosu, Nicole Nadine Lønfeldt, A.-R. Cecilie Mora-Jensen, Sneha Das, Nicklas Leander Lund, Anne Katrine Pagsberg, Line Katrine Harder Clemmensen

CoRR, 2022

Computational behavior recognition in child and adolescent psychiatry: A statistical and machine learning analysis plan.

Nicole Nadine Lønfeldt, Flavia D. Frumosu, A.-R. Cecilie Mora-Jensen, Nicklas Leander Lund, Sneha Das, Anne Katrine Pagsberg, Line Katrine Harder Clemmensen

CoRR, 2022

Speech Detection For Child-Clinician Conversations In Danish For Low-Resource In-The-Wild Conditions: A Case Study.

Sneha Das, Nicole Nadine Lønfeldt, Anne Katrine Pagsberg, Line H. Clemmensen

CoRR, 2022

Continuous Metric Learning For Transferable Speech Emotion Recognition and Embedding Across Low-resource Languages.

Sneha Das, Nicklas Leander Lund, Nicole Nadine Lønfeldt, Anne Katrine Pagsberg, Line H. Clemmensen

Proceedings of the 2022 Northern Lights Deep Learning Workshop, 2022

The Utilization of AR/VR in Robotic Surgery: A Study.

Sneha Das, Sonali Vyas

Proceedings of the 4th International Conference on Information Management & Machine Intelligence, 2022

Towards Transferable Speech Emotion Representation: On Loss Functions for Cross-Lingual Latent Representations.

Sneha Das, Nicole Nadine Lønfeldt, Anne Katrine Pagsberg, Line H. Clemmensen

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Robust and Efficient Methods for Distributed Speech Processing - Perspectives on Coding, Enhancement and Privacy.

Sneha Das

PhD thesis, 2021

Towards Interpretable and Transferable Speech Emotion Recognition: Latent Representation Based Analysis of Features, Methods and Corpora.

Sneha Das, Nicole Nadine Lønfeldt, Anne Katrine Pagsberg, Line H. Clemmensen

CoRR, 2021

PyAWNeS-Codec: Speech and audio codec for ad-hoc acoustic wireless sensor networks.

Tom Bäckström, Mariem Bouafif Mansali, Pablo Pérez Zarazaga, Meghna Ranjit, Sneha Das, Zied Lachiri

Proceedings of the 29th European Signal Processing Conference, 2021

2020

Enhancement by postfiltering for speech and audio coding in ad-hoc sensor networks.

Sneha Das, Tom Bäckström

CoRR, 2020

Perception of Privacy Measured in the Crowd - Paired Comparison on the Effect of Background Noises.

Anna Leschanowsky, Sneha Das, Tom Bäckström, Pablo Pérez Zarazaga

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Fundamental Frequency Model for Postfiltering at Low Bitrates in a Transform-Domain Speech and Audio Codec.

Sneha Das, Tom Bäckström, Guillaume Fuchs

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

2019

Sound Privacy: A Conversational Speech Corpus for Quantifying the Experience of Privacy.

Pablo Pérez Zarazaga, Sneha Das, Tom Bäckström, Vishnu Vidyadhara Raju Vegesna, Anil Kumar Vuppala

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

2018

Postfiltering Using Log-Magnitude Spectrum for Speech and Audio Coding.

Sneha Das, Tom Bäckström

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Postfiltering with Complex Spectral Correlations for Speech and Audio Coding.

Sneha Das, Tom Bäckström

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Dithered Quantization for Frequency-Domain Speech and Audio Coding.

Tom Bäckström, Johannes Fischer, Sneha Das

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

2016

Spectral Envelope Statistics for Source Modeling in Speech Enhancement.

Sneha Das, Alexandra Craciun, Tobias Jähnel, Tom Bäckström

Proceedings of the 12th ITG Symposium on Speech Communication, 2016