Satvik Venkatesh

Journal Papers

• Venkatesh, S., Moffat, D., & Miranda, E. R. (2022). You Only Hear Once: A YOLO-like Algorithm for Audio Segmentation and Sound Event Detection. Applied Sciences, 12(7). [DOI]
• Venkatesh, S., Moffat, D., & Miranda, E. R. (2022). Word Embeddings for Automatic Equalization in Audio Mixing. Journal of the Audio Engineering Society. (accepted, in press). [ArXiv]
• Venkatesh, S., Miranda, E. R., & Braund, E. (2022). SSVEP-based Brain-computer Interface for Music using a Low-density EEG System. Assistive Technology. (accepted, in press). [DOI]
• Venkatesh, S., Moffat, D., & Miranda, E. R. (2021). Investigating the Effects of Training Set Synthesis for Audio Segmentation of Radio Broadcast. Electronics, 10(7). [DOI]
• Braund, E., Venkatesh, S., & Miranda, E. R. (2019). PhyBox: A Programmable Interface for Physarum polycephalum-based Memristors. International Journal of Unconventional Computing, 14, 217-233. [DOI]
• Miranda, E. R., Braund, E., & Venkatesh, S. (2018). Composing with Biomemristors: Is Biocomputing the New Technology of Computer Music?. Computer Music Journal, 42, 28-46. [DOI]

Conference Papers

• Venkatesh, S., Moffat, D., et al. (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) (pp. 636–640). [DOI, PDF]
• Venkatesh, S., Braund, E., & Miranda, E. R. (2020). Composing Popular Music with Physarum Polycephalum-based Memristors. International Conference on New Interfaces for Musical Expression (NIME) (pp. 514–519). The Royal Birmingham Conservatoire. [PDF]
• Venkatesh, S., Braund, E., & Miranda, E. R. (2020). Designing Brain-computer Interfaces for Sonic Expression. International Conference on New Interfaces for Musical Expression (NIME) (pp. 525–530). The Royal Birmingham Conservatoire. [PDF]
• Venkatesh, S., Moffat, D., & Miranda, E. R. (2019). Radiome: Artificially Intelligent Radio for People with Dementia. Digital Music Research Network One-day Workshop: DMRN+14. [PDF]

Book Chapters

• Miranda, E. R., Braund, E., & Venkatesh, S. (2021). On Growing Computers from Living Biological Cells. In E. R. Miranda (Ed.), Handbook of Artificial Intelligence for Music: Foundations, Advanced Approaches, and Developments for Creativity (pp. 933-961). Springer International Publishing. [DOI]
• Venkatesh, S., Braund, E., & Miranda, E. R. (2019). A Nonlinear Approach to Generate Creative Data using Physarum polycephalum-based Memristors. In A. Adamatzky (Ed.), , Slime Mould in Arts and Architecture. River Publishers. [DOI, PDF]