Saurjya Sarkar

According to our database, Saurjya Sarkar authored at least 5 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

AI (r)evolution - where are we heading? Thoughts about the future of music and sound technologies in the era of deep learning.

Giovanni Bindi, Nils Demerlé, Rodrigo Diaz, David Genova, Aliénor Golvet, Ben Hayes, Jiawen Huang, Lele Liu, Vincent Martos, Sarah Nabi, Teresa Pelinski, Lenny Renault, Saurjya Sarkar, Pedro Sarmento, Cyrus Vahidi, Lewis Wolstanholme, Yixiao Zhang, Axel Roebel, Nick Bryan-Kinns, Jean-Louis Giavitto, Mathieu Barthet

CoRR, 2023

Leveraging Synthetic Data for Improving Chamber Ensemble Separation.

Saurjya Sarkar, Louise Thorpe, Emmanouil Benetos, Mark Sandler

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2023

2022

EnsembleSet.

Saurjya Sarkar, Emmanouil Benetos, Mark Sandler

Dataset, May, 2022

EnsembleSet: a new high quality synthesised dataset for chamber ensemble separation.

Saurjya Sarkar, Emmanouil Benetos, Mark Sandler

Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

2021

Vocal Harmony Separation Using Time-Domain Neural Networks.

Saurjya Sarkar, Emmanouil Benetos, Mark B. Sandler

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021