| Adjusting audio characteristics for augmented reality S Sarkar US Patent 11,032,662, 2021 | 28 | 2021 |
| EnsembleSet: A new high-quality synthesised dataset for chamber ensemble separation S Sarkar, E Benetos, M Sandler 23rd International Society for Music Information Retrieval Conference (ISMIR …, 2022 | 11 | 2022 |
| Vocal Harmony Separation using Time-domain Neural Networks S Sarkar, E Benetos, M Sandler Proc. Interspeech 2021, 3515--3519, 2021 | 11 | 2021 |
| UPDATED 24 μm PERIOD–LUMINOSITY RELATION DERIVED FROM GALACTIC CEPHEIDS CC Ngeow, S Sarkar, A Bhardwaj, SM Kanbur, HP Singh The Astrophysical Journal 813 (1), 57, 2015 | 10 | 2015 |
| Investigation of a drum controlled cross-adaptive audio effect for live performance S Sarkar, JD Reiss, Ĝ Brandtsegg 20th International Conference on Digital Audio Effects (DAFx-17)(Edinburgh, UK), 2017 | 4* | 2017 |
| Leveraging synthetic data for improving chamber ensemble separation S Sarkar, L Thorpe, E Benetos, M Sandler 2023 IEEE Workshop on Applications of Signal Processing to Audio and …, 2023 | 2 | 2023 |
| Choral music separation using time-domain neural networks S Sarkar, E Benetos, M Sandler Proceedings of the DMRN 15, 7-8, 2020 | 2 | 2020 |
| AI (r) evolution--where are we heading? Thoughts about the future of music and sound technologies in the era of deep learning G Bindi, N Demerlé, R Diaz, D Genova, A Golvet, B Hayes, J Huang, L Liu, ... arXiv preprint arXiv:2310.18320, 2023 | 1 | 2023 |
| Time-domain music source separation for choirs and ensembles S Sarkar | | 2024 |
| Monotimbral Ensemble Separation using Permutation Invariant Training S Sarkar, E Benetos, M Sandler Proceedings of the MDX Workshop, ISMIR 2021, 2021 | | 2021 |
| Voice characteristic machine learning modelling S Sarkar, NB Velavendan WO Patent WO2021216299A1, 2021 | | 2021 |
Emmanouil BenetosQueen Mary University of LondonVerified email at qmul.ac.uk
