Research

I studied EECS at UC Berkeley and worked at the Berkeley Speech Group inside Berkeley Artificial Intelligence Research (BAIR), advised by Dr. Gopala K. Anumanchipalli, Peter Wu, Cheol Jun Cho, and Jiachen Lian.

Google Scholar

• Towards Accurate Phonetic Error Detection Through Phoneme Similarity Modeling
  Interspeech, 2025
  Xuanru Zhou, Jiachen Lian, Cheol Jun Cho, Tejas Prabhune, Shuhe Li, William Li, Rodrigo Ortiz, Zoe Ezzes, Jet Vonk, Brittany Morin, Rian Bogley, Lisa Wauters, Zachary Miller, Maria Gorno-Tempini, Gopala Anumanchipalli

• Coding Speech Through Vocal Tract Kinematics
  IEEE Journal of Selected Topics in Signal Processing, 2024
  Cheol Jun Cho, Peter Wu, Tejas S. Prabhune, Dhruv Agarwal, Gopala K. Anumanchipalli

• Multimodal Segmentation for Vocal Tract Modeling
  Interspeech, 2024
  Rishi Jain, Bohan Yu, Peter Wu, Tejas Prabhune, Gopala Anumanchipalli

• Towards Streaming Speech-to-Avatar Synthesis
  ASRU Demo, 2023
  Tejas S. Prabhune, Peter Wu, Bohan Yu, Gopala K. Anumanchipalli

• Contrastive learning-based pretraining improves representation and transferability of diabetic retinopathy classification models
  Nature Scientific Reports, 2023
  Minhaj Nur Alam, Rikiya Yamashita, Vignav Ramesh, Tejas S. Prabhune, Jennifer I. Lim, Robison Vernon Paul Chan, Joelle Hallak, Theodore Leng, Daniel Rubin