Vaibhavi Lokegaonkar
🎧Working on audio generation

Vaibhavi Lokegaonkar

M.S. in Computer Science · University of Maryland, College Park
Multimodal Audio Generation · Inference Optimization

I am Vaibhavi Lokegaonkar, a Master's student in Computer Science at the University of Maryland, College Park. I conduct research on audio generation under the guidance of Prof. Dinesh Manocha and Prof. Ramani Duraiswami at the GAMMA and PIRL labs.

Currently, my research focuses on conditioning methods for continuous-space audio generation. Over the past year, I have worked on detailed text and video conditioned music generation.

I also explore domains beyond audio generation. This summer, I worked at Capital One as an AI Engineering intern, where I focused on inference optimization using KV-cache management. Before UMD, I completed my undergraduate studies at IIIT Bangalore, where I worked on machine learning for healthcare, including video-based detection of self-stimulatory behaviours to support autism screening.

An interesting problem is all it takes to draw me in, whatever the domain. I am always open to new collaborations, so feel free to drop an email.

News

Publications

VIBE: video instruction-aligned background music generation
Aryan Vijay Bhosale*, Vaibhavi Lokegaonkar*, Vishnu Raj, Gouthaman KV, Sreyan Ghosh, Ramani Duraiswami, Lie Lu, Dinesh Manocha (*equal contribution)
EMNLP Findings 2026
Video-Robin overview: text and video conditioned music generation
Vaibhavi Lokegaonkar*, Aryan Vijay Bhosale*, Vishnu Raj, Gouthaman KV, Ramani Duraiswami, Lie Lu, Sreyan Ghosh, Dinesh Manocha (*equal contribution)
arXiv · 2026
SPUR: dataset curation pipeline and model architecture
S Sakshi, Vaibhavi Lokegaonkar, Neil Zhang, Ramani Duraiswami, Sreyan Ghosh, Dinesh Manocha, Lie Lu
arXiv · 2025
MMAU-Pro benchmark example questions
Sonal Kumar, Šimon Sedláček, Vaibhavi Lokegaonkar, Fernando López, Wenyi Yu, Nishit Anand, et al., Sreyan Ghosh, Ramani Duraiswami
AAAI 2026
Chao-Han Huck Yang, Sreyan Ghosh, Qing Wang, Jaeyeon Kim, Hengyi Hong, Sonal Kumar, Guirui Zhong, Zhifeng Kong, S Sakshi, Vaibhavi Lokegaonkar, et al.
DCASE 2025 Challenge
SSBD+ activation heatmaps on video frames
Vaibhavi Lokegaonkar, Vijay Jaisankar, Pon Deepika, Madhav Rao, T K Srikanth, Sarbani Mallick, Manjit Sodhi
IEEE Healthcom 2023

Contact

The best way to reach me is by email at vlokegao@umd.edu. I am happy to discuss research ideas and potential collaborations.