Sneha Das - RankMe

36 papers A 6C 1Misc 4Journal 20Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Word Error Rate: Auditing the Diversity Tax in Speech Recognition through Dataset Cartography. CoRR Ting-Hui Cheng, Line H. Clemmensen, Sneha Das
2026	J	`jnl`	Intra-Fairness Dynamics: The Bias Spillover Effect in Targeted LLM Alignment. CoRR Eva Paraschou, Line Harder Clemmensen, Sneha Das
2026	J	`jnl`	Measuring What VLMs Don't Say: Validation Metrics Hide Clinical Terminology Erasure in Radiology Report Generation. CoRR Aditya Parikh, Aasa Feragen, Sneha Das, Stella Frank
2025	C	`conf`	EmoTale: An Enacted Speech-emotion Dataset in Danish. ASRU Maja J. Hjuler, Harald V. Skat-Rørdam, Line H. Clemmensen, Sneha Das
2025	J	`jnl`	EmoTale: An Enacted Speech-emotion Dataset in Danish. CoRR Maja J. Hjuler, Harald V. Skat-Rørdam, Line H. Clemmensen, Sneha Das
2025	J	`jnl`	Evaluation of Stress Detection as Time Series Events - A Novel Window-Based F1-Metric. CoRR Harald V. Skat-Rørdam, Sneha Das, Kathrine Sofie Rasmussen, Nicole Nadine Lønfeldt, Line Harder Clemmensen
2025	Misc	`conf`	Exploring Local Interpretable Model-Agnostic Explanations for Speech Emotion Recognition with Distribution-Shift. ICASSP Maja J. Hjuler, Line H. Clemmensen, Sneha Das
2025	J	`jnl`	Exploring Local Interpretable Model-Agnostic Explanations for Speech Emotion Recognition with Distribution-Shift. CoRR Maja J. Hjuler, Line H. Clemmensen, Sneha Das
2025	J	`jnl`	Investigating Label Bias and Representational Sources of Age-Related Disparities in Medical Segmentation. CoRR Aditya Parikh, Sneha Das, Aasa Feragen
2025	J	`jnl`	The Cost-Benefit of Interdisciplinarity in AI for Mental Health. CoRR Katerina Drakos, Eva Paraschou, Simay Toplu, Line Harder Clemmensen, Christoph Lütge, Nicole Nadine Lønfeldt, Sneha Das
2025	J	`jnl`	Who Does Your Algorithm Fail? Investigating Age and Ethnic Bias in the MAMA-MIA Dataset. CoRR Aditya Parikh, Sneha Das, Aasa Feragen
2024	Misc	`conf`	Anonymizing Speaker Voices: Easy to Imitate, Difficult to Recognize? ICASSP Jennifer Williams, Karla Pizzi, Natalia A. Tomashenko, Sneha Das
2024	J	`jnl`	Evaluation of Large Language Models: STEM education and Gender Stereotypes. CoRR Smilla Due, Sneha Das, Marianne Andersen, Berta Plandolit López, Sniff Andersen Nexø, Line H. Clemmensen
2024	J	`jnl`	Examining the Interplay Between Privacy and Fairness for Speech Processing: A Review and Perspective. CoRR Anna Leschanowsky, Sneha Das
2024	J	`jnl`	Exploratory Evaluation of Speech Content Masking. CoRR Jennifer Williams, Karla Pizzi, Paul-Gauthier Noé, Sneha Das
2024	J	`jnl`	Is it the model or the metric - On robustness measures of deeplearning models. CoRR Zhijin Lyu, Yutong Jin, Sneha Das
2023	Misc	`conf`	On Crowdsourcing-Design with Comparison Category Rating for Evaluating Speech Enhancement Algorithms. ICASSP Angélica S. Z. Suárez, Clément Laroche, Line H. Clemmensen, Sneha Das
2022	J	`jnl`	Computational behavior recognition in child and adolescent psychiatry: A statistical and machine learning analysis plan. CoRR Nicole Nadine Lønfeldt, Flavia D. Frumosu, A.-R. Cecilie Mora-Jensen, Nicklas Leander Lund, Sneha Das, Anne Katrine Pagsberg, Line Katrine Harder Clemmensen
2022	—	`conf`	Continuous Metric Learning For Transferable Speech Emotion Recognition and Embedding Across Low-resource Languages. NLDL Sneha Das, Nicklas Leander Lund, Nicole Nadine Lønfeldt, Anne Katrine Pagsberg, Line H. Clemmensen
2022	J	`jnl`	Continuous Metric Learning For Transferable Speech Emotion Recognition and Embedding Across Low-resource Languages. CoRR Sneha Das, Nicklas Leander Lund, Nicole Nadine Lønfeldt, Anne Katrine Pagsberg, Line H. Clemmensen
2022	J	`jnl`	Interpretability by design using computer vision for behavioral sensing in child and adolescent psychiatry. CoRR Flavia D. Frumosu, Nicole Nadine Lønfeldt, A.-R. Cecilie Mora-Jensen, Sneha Das, Nicklas Leander Lund, Anne Katrine Pagsberg, Line Katrine Harder Clemmensen
2022	J	`jnl`	Speech Detection For Child-Clinician Conversations In Danish For Low-Resource In-The-Wild Conditions: A Case Study. CoRR Sneha Das, Nicole Nadine Lønfeldt, Anne Katrine Pagsberg, Line H. Clemmensen
2022	—	`conf`	The Utilization of AR/VR in Robotic Surgery: A Study. ICIMMI Sneha Das, Sonali Vyas
2022	Misc	`conf`	Towards Transferable Speech Emotion Representation: On Loss Functions for Cross-Lingual Latent Representations. ICASSP Sneha Das, Nicole Nadine Lønfeldt, Anne Katrine Pagsberg, Line H. Clemmensen
2022	J	`jnl`	Towards Transferable Speech Emotion Representation: On loss functions for cross-lingual latent representations. CoRR Sneha Das, Nicole Nadine Lønfeldt, Anne Katrine Pagsberg, Line H. Clemmensen
2021	—	`conf`	PyAWNeS-Codec: Speech and audio codec for ad-hoc acoustic wireless sensor networks. EUSIPCO Tom Bäckström, Mariem Bouafif Mansali, Pablo Pérez Zarazaga, Meghna Ranjit, Sneha Das, Zied Lachiri
2021	—	`—`	Robust and Efficient Methods for Distributed Speech Processing - Perspectives on Coding, Enhancement and Privacy. Sneha Das
2021	J	`jnl`	Towards Interpretable and Transferable Speech Emotion Recognition: Latent Representation Based Analysis of Features, Methods and Corpora. CoRR Sneha Das, Nicole Nadine Lønfeldt, Anne Katrine Pagsberg, Line H. Clemmensen
2020	J	`jnl`	Enhancement by postfiltering for speech and audio coding in ad-hoc sensor networks. CoRR Sneha Das, Tom Bäckström
2020	A	`conf`	Fundamental Frequency Model for Postfiltering at Low Bitrates in a Transform-Domain Speech and Audio Codec. INTERSPEECH Sneha Das, Tom Bäckström, Guillaume Fuchs
2020	A	`conf`	Perception of Privacy Measured in the Crowd - Paired Comparison on the Effect of Background Noises. INTERSPEECH Anna Leschanowsky, Sneha Das, Tom Bäckström, Pablo Pérez Zarazaga
2019	A	`conf`	Sound Privacy: A Conversational Speech Corpus for Quantifying the Experience of Privacy. INTERSPEECH Pablo Pérez Zarazaga, Sneha Das, Tom Bäckström, Vishnu Vidyadhara Raju Vegesna, Anil Kumar Vuppala
2018	A	`conf`	Dithered Quantization for Frequency-Domain Speech and Audio Coding. INTERSPEECH Tom Bäckström, Johannes Fischer, Sneha Das
2018	A	`conf`	Postfiltering Using Log-Magnitude Spectrum for Speech and Audio Coding. INTERSPEECH Sneha Das, Tom Bäckström
2018	A	`conf`	Postfiltering with Complex Spectral Correlations for Speech and Audio Coding. INTERSPEECH Sneha Das, Tom Bäckström
2016	—	`conf`	Spectral Envelope Statistics for Source Modeling in Speech Enhancement. ITG Symposium on Speech Communication Sneha Das, Alexandra Craciun, Tobias Jähnel, Tom Bäckström