| Introduction to speech processing T Bäckström, O Räsänen, A Zewoudie, P Perez Zarazaga, S Das | 17 | 2020 |
| 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 | 13 | 2019 |
| Postfiltering Using Log-Magnitude Spectrum for Speech and Audio Coding S Das, T Bäckström Interspeech 2018, 2018 | 12 | 2018 |
| Dithered Quantization for Frequency-Domain Speech and Audio Coding T Bäckström, J Fischer, S Das Interspeech 2018, 2018 | 11 | 2018 |
| Postfiltering with Complex Spectral Correlations for Speech and Audio Coding S Das, T Bäckström Interspeech 2018, 2018 | 8 | 2018 |
| 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 | 6 | 2022 |
| 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 | 5 | 2022 |
| Enhancement by postfiltering for speech and audio coding in ad hoc sensor networks S Das, T Bäckström JASA Express Letters 1 (1), 2021 | 5 | 2021 |
| 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 | 5 | 2020 |
| 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 | 4 | 2021 |
| Privacy Analysis of Voice User Interfaces F Yeasmin, S Das, T Bäckström 27th IEEE Conference of Open Innovations Association (FRUCT), 2020 | 4 | 2020 |
| 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 | 3 | 2022 |
| 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 | 3 | 2021 |
| Scaling-up Behavioral Observation with Computational Behavior Recognition NN Lønfeldt, S Das, ARC Mora-Jensen, AK Pagsberg, L Clemmensen PsyArXiv, 2023 | 2 | 2023 |
| 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 | 2 | 2022 |
| 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 | 2 | 2022 |
| 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 | 2 | 2022 |
| 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 | 2 | 2021 |
| 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 | 2 | 2016 |
| Source Modelling Based on Higher-Order Statistics for Speech Enhancement Applications S Das Friedrich-Alexander-Universität Erlangen-Nürnberg, 2016 | 2 | 2016 |
Tom BäckströmAalto UniversityVerified email at aalto.fi
