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Sneha Das
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Introduction to speech processing
T Bäckström, O Räsänen, A Zewoudie, P Perez Zarazaga, S Das
182020
Sound Privacy: A Conversational Speech Corpus for Quantifying the Experience of Privacy
PP Zarazaga, S Das, T Bäckström, VVV Raju, AK Vuppala
Interspeech 2019, 2019
132019
Postfiltering Using Log-Magnitude Spectrum for Speech and Audio Coding
S Das, T Bäckström
Interspeech 2018, 2018
122018
Dithered Quantization for Frequency-Domain Speech and Audio Coding
T Bäckström, J Fischer, S Das
Interspeech 2018, 2018
112018
Postfiltering with Complex Spectral Correlations for Speech and Audio Coding
S Das, T Bäckström
Interspeech 2018, 2018
82018
Towards Transferable Speech Emotion Representation: On loss functions for cross-lingual latent representations
S Das, NN Lønfeldt, AK Pagsberg, LH Clemmensen
ICASSP International Conference on Acoustics, Speech, and Signal Processing …, 2022
72022
Continuous Metric Learning For Transferable Speech Emotion Recognition and Embedding Across Low-resource Languages
S Das, NL Lund, NN Lønfeldt, AK Pagsberg, LH Clemmensen
Proceedings of the Northern Lights Deep Learning Workshop 3 (3), 2022
52022
Enhancement by postfiltering for speech and audio coding in ad hoc sensor networks
S Das, T Bäckström
JASA Express Letters 1 (1), 2021
52021
Perception of Privacy Measured in the Crowd−Paired Comparison on the Effect of Background Noises
A Leschanowsky, S Das, T Backstrom, PP Zarazaga
Interspeech 2020, 2020
52020
PyAWNeS-Codec: Speech and audio codec for ad-hoc acoustic wireless sensor networks
T Bäckström, MB Mansali, PP Zarazaga, M Ranjit, S Das, Z Lachiri
2021 29th European Signal Processing Conference (EUSIPCO), 1090-1094, 2021
42021
Privacy Analysis of Voice User Interfaces
F Yeasmin, S Das, T Bäckström
27th IEEE Conference of Open Innovations Association (FRUCT), 2020
42020
Scaling-up Behavioral Observation with Computational Behavior Recognition
NN Lønfeldt, S Das, ARC Mora-Jensen, AK Pagsberg, L Clemmensen
PsyArXiv, 2023
32023
Associations Between the Severity of Obsessive-Compulsive Disorder and Vocal Features in Children and Adolescents: Protocol for a Statistical and Machine Learning Analysis
LKH Clemmensen, NN Lønfeldt, S Das, NL Lund, VF Uhre, ...
JMIR Research Protocols 11 (10), e39613, 2022
32022
Towards Interpretable and Transferable Speech Emotion Recognition: Latent Representation Based Analysis of Features, Methods and Corpora
S Das, NN Lønfeldt, AK Pagsberg, LH Clemmensen
arXiv preprint arXiv:2105.02055, 2021
32021
Predicting Obsessive-Compulsive Disorder Events in Children and Adolescents in the Wild using a Wearable Biosensor (Wrist Angel): Protocol for the Analysis Plan of a …
KV Olesen, NN Lønfeldt, S Das, AK Pagsberg, LKH Clemmensen
JMIR Research Protocols 12 (1), e48571, 2023
22023
Interpretability by design using computer vision for behavioral sensing in child and adolescent psychiatry
FD Frumosu, NN Lønfeldt, AR Cecilie Mora-Jensen, S Das, ...
2nd ICML 2022 Workshop on Interpretable Machine Learning In Healthcare …, 2022
22022
Speech Detection For Child-Clinician Conversations In Danish For Low-Resource In-The-Wild Conditions: A Case Study
S Das, NN Lønfeldt, AK Pagsberg, L Clemmensen
arXiv preprint arXiv:2204.11550, 2022
22022
Zero-shot Cross-lingual Speech Emotion Recognition: A Study of Loss Functions and Feature Importance
S Das, NL Lund, NN Lønfeldt, AK Pagsberg, LH Clemmensen
2nd ISCA Symposium on Security and Privacy in Speech Communication, 23--29, 2022
22022
Intuitive privacy from acoustic reach: A case for networked voice user-interfaces
T Bäckström, S Das, PP Zarazaga, J Fischer, R Findling, S Sigg, ...
ISCA Symposium on Security and Privacy in Speech Communication, 2021
22021
Spectral Envelope Statistics for Source Modeling in Speech Enhancement
S Das, A Craciun, T Jaehnel, T Baeckstroem
12. ITG Symposium on Speech Communication, 1-5, 2016
22016
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Artikler 1–20