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Sneha Das
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2020 – today
- 2024
- [c13]Jennifer Williams, Karla Pizzi, Natalia A. Tomashenko
, Sneha Das
Anonymizing Speaker Voices: Easy to Imitate, Difficult to Recognize? ICASSP 2024: 12491-12495 - [i10]Jennifer Williams, Karla Pizzi, Paul-Gauthier Noé, Sneha Das:
Exploratory Evaluation of Speech Content Masking. CoRR abs/2401.03936 (2024) - [i9]Smilla Due, Sneha Das, Marianne Andersen, Berta Plandolit López, Sniff Andersen Nexø, Line H. Clemmensen:
Evaluation of Large Language Models: STEM education and Gender Stereotypes. CoRR abs/2406.10133 (2024) - [i8]Anna Leschanowsky, Sneha Das:
Examining the Interplay Between Privacy and Fairness for Speech Processing: A Review and Perspective. CoRR abs/2408.15391 (2024) - 2023
- [c12]Angélica S. Z. Suárez, Clément Laroche, Line H. Clemmensen, Sneha Das
On Crowdsourcing-Design with Comparison Category Rating for Evaluating Speech Enhancement Algorithms. ICASSP 2023: 1-5 - 2022
- [c11]Sneha Das
Towards Transferable Speech Emotion Representation: On Loss Functions for Cross-Lingual Latent Representations. ICASSP 2022: 6452-6456 - [c10]Sneha Das
The Utilization of AR/VR in Robotic Surgery: A Study. ICIMMI 2022: 61:1-61:8 - [c9]Sneha Das
Continuous Metric Learning For Transferable Speech Emotion Recognition and Embedding Across Low-resource Languages. NLDL 2022 - [i7]Sneha Das, Nicole Nadine Lønfeldt, Anne Katrine Pagsberg, Line H. Clemmensen:
Towards Transferable Speech Emotion Representation: On loss functions for cross-lingual latent representations. CoRR abs/2203.14865 (2022) - [i6]Sneha Das, Nicklas Leander Lund, Nicole Nadine Lønfeldt, Anne Katrine Pagsberg, Line H. Clemmensen:
Continuous Metric Learning For Transferable Speech Emotion Recognition and Embedding Across Low-resource Languages. CoRR abs/2203.14867 (2022) - [i5]Sneha Das, Nicole Nadine Lønfeldt, Anne Katrine Pagsberg, Line H. Clemmensen:
Speech Detection For Child-Clinician Conversations In Danish For Low-Resource In-The-Wild Conditions: A Case Study. CoRR abs/2204.11550 (2022) - [i4]Nicole Nadine Lønfeldt, Flavia D. Frumosu, A.-R. Cecilie Mora-Jensen, Nicklas Leander Lund, Sneha Das, Anne Katrine Pagsberg, Line Katrine Harder Clemmensen:
Computational behavior recognition in child and adolescent psychiatry: A statistical and machine learning analysis plan. CoRR abs/2205.05737 (2022) - [i3]Flavia D. Frumosu, Nicole Nadine Lønfeldt, A.-R. Cecilie Mora-Jensen, Sneha Das, Nicklas Leander Lund, Anne Katrine Pagsberg, Line Katrine Harder Clemmensen:
Interpretability by design using computer vision for behavioral sensing in child and adolescent psychiatry. CoRR abs/2207.04724 (2022) - 2021
- [b1]Sneha Das:
Robust and Efficient Methods for Distributed Speech Processing - Perspectives on Coding, Enhancement and Privacy. Aalto University, Espoo, Finland, 2021 - [c8]Tom Bäckström
PyAWNeS-Codec: Speech and audio codec for ad-hoc acoustic wireless sensor networks. EUSIPCO 2021: 1090-1094 - [i2]Sneha Das, Nicole Nadine Lønfeldt, Anne Katrine Pagsberg, Line H. Clemmensen:
Towards Interpretable and Transferable Speech Emotion Recognition: Latent Representation Based Analysis of Features, Methods and Corpora. CoRR abs/2105.02055 (2021) - 2020
- [c7]Sneha Das
Fundamental Frequency Model for Postfiltering at Low Bitrates in a Transform-Domain Speech and Audio Codec. INTERSPEECH 2020: 2837-2841 - [c6]Anna Leschanowsky
Perception of Privacy Measured in the Crowd - Paired Comparison on the Effect of Background Noises. INTERSPEECH 2020: 4651-4655 - [i1]Sneha Das, Tom Bäckström:
Enhancement by postfiltering for speech and audio coding in ad-hoc sensor networks. CoRR abs/2011.03810 (2020)
2010 – 2019
- 2019
- [c5]Pablo Pérez Zarazaga, Sneha Das
Sound Privacy: A Conversational Speech Corpus for Quantifying the Experience of Privacy. INTERSPEECH 2019: 3720-3724 - 2018
- [c4]Tom Bäckström
Dithered Quantization for Frequency-Domain Speech and Audio Coding. INTERSPEECH 2018: 3533-3537 - [c3]Sneha Das
Postfiltering with Complex Spectral Correlations for Speech and Audio Coding. INTERSPEECH 2018: 3538-3542 - [c2]Sneha Das
Postfiltering Using Log-Magnitude Spectrum for Speech and Audio Coding. INTERSPEECH 2018: 3543-3547 - 2016
- [c1]Sneha Das, Alexandra Craciun, Tobias Jähnel, Tom Bäckström:
Spectral Envelope Statistics for Source Modeling in Speech Enhancement. ITG Symposium on Speech Communication 2016: 1-5
Coauthor Index
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