Spectral Envelope Statistics for Source Modeling in Speech Enhancement. - Sneha Das; Alexandra Craciun; Tobias Jähnel; Tom Bäckström (ITG Symposium on Speech Communication, 2016)

Dithered Quantization for Frequency-Domain Speech and Audio Coding. - Tom Bäckström; Johannes Fischer 002; Sneha Das (INTERSPEECH, 2018)

Postfiltering with Complex Spectral Correlations for Speech and Audio Coding. - Sneha Das; Tom Bäckström (INTERSPEECH, 2018)

Postfiltering Using Log-Magnitude Spectrum for Speech and Audio Coding. - Sneha Das; Tom Bäckström (INTERSPEECH, 2018)

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 (INTERSPEECH, 2019)

Fundamental Frequency Model for Postfiltering at Low Bitrates in a Transform-Domain Speech and Audio Codec. - Sneha Das; Tom Bäckström; Guillaume Fuchs (INTERSPEECH, 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 (INTERSPEECH, 2020)

Enhancement by postfiltering for speech and audio coding in ad-hoc sensor networks. - Sneha Das; Tom Bäckström (CoRR, 2020)

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 (EUSIPCO, 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)

Robust and Efficient Methods for Distributed Speech Processing - Perspectives on Coding, Enhancement and Privacy. - Sneha Das (2021)

Towards Transferable Speech Emotion Representation: On Loss Functions for Cross-Lingual Latent Representations. - Sneha Das; Nicole Nadine Lønfeldt; Anne Katrine Pagsberg; Line H. Clemmensen (ICASSP, 2022)

The Utilization of AR/VR in Robotic Surgery: A Study. - Sneha Das; Sonali Vyas (ICIMMI, 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 (NLDL, 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)

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)

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)

On Crowdsourcing-Design with Comparison Category Rating for Evaluating Speech Enhancement Algorithms. - Angélica S. Z. Suárez; Clément Laroche; Line H. Clemmensen; Sneha Das (ICASSP, 2023)

Anonymizing Speaker Voices: Easy to Imitate, Difficult to Recognize? - Jennifer Williams 001; Karla Pizzi; Natalia A. Tomashenko; Sneha Das (ICASSP, 2024)

Exploratory Evaluation of Speech Content Masking. - Jennifer Williams 001; Karla Pizzi; Paul-Gauthier Noé; 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)

Examining the Interplay Between Privacy and Fairness for Speech Processing: A Review and Perspective. - Anna Leschanowsky; Sneha Das (CoRR, 2024)

Is it the model or the metric - On robustness measures of deeplearning models. - Zhijin Lyu; Yutong Jin; Sneha Das (CoRR, 2024)

Exploring Local Interpretable Model-Agnostic Explanations for Speech Emotion Recognition with Distribution-Shift. - Maja J. Hjuler; Line H. Clemmensen; Sneha Das (ICASSP, 2025)