Tejas Prabhune

I am a second-year EECS major at UC Berkeley, advised by Dr. Gopala K. Anumanchipalli, Peter Wu, Cheol Jun Cho, and Jiachen Lian. I primarily work at the Berkeley Speech Group within Berkeley Artificial Intelligence Research (BAIR).

My research is focused on visualizing the vocal tract using speech-driven 3D avatars, brain-to-computer interfaces (BCI) for virtual embodiment, and generating realistic audio-visual dialogues using avatar-based LLMs.

Email / Resume / Google Scholar

Publications

	Multimodal Pretraining for Vocal Tract Modeling Tejas S. Prabhune, Bohan Yu, Rishi Jain, Peter Wu, Gopala K. Anumanchipalli Paper Pending, 2024 paper
	Towards Streaming Speech-to-Avatar Synthesis Tejas S. Prabhune, Peter Wu, Bohan Yu, Gopala K. Anumanchipalli ASRU Demo, 2023 paper
	Contrastive learning-based pretraining improves representation and transferability of diabetic retinopathy classification models Minhaj Nur Alam, Rikiya Yamashita, Vignav Ramesh, Tejas S. Prabhune, Jennifer I. Lim, Robison Vernon Paul Chan, Joelle Hallak, Theodore Leng, Daniel Rubin Nature Scientific Reports, 2023 paper
	Dataset-Agnostic Vessel Segmentation of Retinal Fundus Images by a Vector Quantized Variational Autoencoder Tejas S. Prabhune, David Walz Journal of Student Research, 2021 paper

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