Research
My research background is in the areas of spatial audio reproduction, networked music performance, and machine listening.
Sridhar, S., and Cartwright, M. (2023). Multi-label open-set audio classification. Workshop on the Detection and Classification of Acoustic Scenes and Events, 2023 (DCASE 2023). 21-22 September 2023, Tampere, Finland.
Lostanlen, V., Sridhar, S., McFee, B., Farnsworth, A., & Bello, J. P. (2020). Learning the Helix Topology of Musical Pitch [ISSN: 2379-190X]. ICASSP 2020 - 2020 IEEE International Conference on Acoustics,Speech and Signal Processing (ICASSP), 11–15.
Hupke, R., Peissig, J., Genovese, A., Sridhar, S., & Roginska, A. (2020). Impact of Source Panning on a Global Metronome in Rhythmic Networked Music Performance [ISSN: 2305-7254]. 2020 27th Conference of Open Innovations Association (FRUCT), 73–83.
Hupke, R., Sridhar, S., Genovese, A., Nophut, M., Preihs, S., Beyer, T., Roginska, A., & Peissig, J. (2019). A Latency Measurement Method for Networked Music Performances. Audio Engineering Society, 2019.
Kim, S., & Sridhar, S. (2019). Multichannel Audio Implementation for Virtual Reality. Audio Engineering Society, 2019.
Kim, S., & Sridhar, S. (2018a). Evaluation of Additional Virtual Sound Sources in a 9.1Loudspeaker Configuration. Audio Engineering Society, 2018.
Kim, S., & Sridhar, S. (2018b). Stationary Music from Users’ Viewpoint in VR Applications. Audio Engineering Society, 2018.