Mr Satvik Venkatesh
Profiles

Mr Satvik Venkatesh

School of Humanities and Performing Arts (Faculty of Arts, Humanities and Business)

Biography

Biography

I am a doctoral researcher in the EPSRC-funded RadioMe project at the Interdisciplinary Centre for Computer Music Research (ICCMR) lab. Additionally, I am involved in projects related to Brain-computer Music Interfaces, Unconventional Computing, and Artificial Intelligence for music.

Qualifications

Bachelor of Technology in Information and Communication Technology

Research Masters in Computer Music

Teaching

Teaching

Teaching interests

  • Computer Programming
  • Data Structures and algorithms
  • Music Technology
  • Signal Processing

Research

Research

Research interests

  • Computer Music
  • Brain-computer Interfaces
  • Unconventional Computing
  • Signal Processing
  • Artificial Intelligence
  • Music Information Retrieval
  • Composition

Publications

Publications

Journals

Venkatesh, S., Moffat, D., and Miranda, E. R. (2021). Investigating the Effects of Training Set Synthesis for Audio Segmentation of Radio Broadcast. Electronics, 10(7).

Braund, E. Venkatesh, S. and Miranda, E.R., (2019). PhyBox: A Programmable Interface for Physarum polycephalum-based Memristors. International Journal of Unconventional Computing.

Miranda, E.R., Braund, E. and Venkatesh, S., (2018). Composing with Biomemristors: Is Biocomputing the New Technology of Computer Music?. Computer Music Journal, 42(3), pp.28-46.

Chapters

Venkatesh, S., Braund, E., & Miranda, E. R., (2019). A Nonlinear Approach to Generate Creative Data using Physarum polycephalum-based Memristors." In Slime Mould in Arts and Architecture. River Publishers.

Conference Papers

Venkatesh, S., Moffat, D., Kirke, A., Shakeri, G., Brewster, S., Fachner, J., Odell-Miller, H., Street, A., Farina, N., Banerjee, S., and Miranda, E. R. (2021). “Artificially Synthesising Data for Audio Classification and Segmentation to Improve Speech and Music Detection in Radio Broadcast”. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). (in press).

Venkatesh, S., Braund, E. and Miranda, E. R. (2020). “Composing Popular Music with Physarum polycephalum-based Memristors”. In Proceedings of the International Conference on New Interfaces for Musical Expression. The Royal Birmingham Conservatoire. pp. 514 - 519. 

Venkatesh, S., Braund, E. and Miranda, E. R. (2020). “Designing Brain-computer Interfaces for Sonic Expression”. In Proceedings of the International Conference on New Interfaces for Musical Expression. The Royal Birmingham Conservatoire. pp. 525 - 530. 

Venkatesh, S., Moffat, D. and Miranda, E. R. (2019). “RadioMe: Artificially Intelligent Radio for People with Dementia”. DMRN+14: Digital Music Research Network Workshop.