Rohit Prabhavalkar

Rohit Prabhavalkar

Rohit Prabhavalkar received his PhD in Computer Science and Engineering from The Ohio State University, USA, in 2013. Following his PhD, Rohit joined the Speech Technologies group at Google where he is currently a Senior Staff Research Scientist. At Google, his research has previously focused primarily on developing compact acoustic models which can run efficiently on mobile devices, and on developing improved end-to-end automatic speech recognition systems; his current research is focused on improving multimodal LLMs for audio tasks. Rohit has co-authored over 80 refereed journal articles and conference papers, which have received two best paper awards (ASRU 2017; ICASSP 2018). He has previously served as an associate editor of the IEEE/ACM Transactions on Audio, Speech, and Language Processing (2021-2024), and as an elected member of the IEEE Speech and Language Processing Technical Committee for two terms (2018-2021; 2021-2024).
Authored Publications
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    Google
REPLACING HUMAN-RECORDED AUDIO WITH SYNTHETIC AUDIOFOR ON-DEVICE UNSPOKEN PUNCTUATION PREDICTION
Bogdan Prisacari
Daria Soboleva
Felix Weissenberger
Justin Lu
Márius Šajgalík
ICASSP 2021: International Conference on Acoustics, Speech and Signal Processing (2021) (to appear)
A Streaming On-Device End-to-End Model Surpassing Server-Side Conventional Model Quality and Latency
Ruoming Pang
Antoine Bruguier
Wei Li
Raziel Alvarez
Zhifeng Chen
Chung-Cheng Chiu
David Garcia
Kevin Hu
Minho Jin
Qiao Liang
Cal Peyser
David Rybach
(June) Yuan Shangguan
Yash Sheth
Mirkó Visontai
Yonghui Wu
Yu Zhang
Ding Zhao
ICASSP (2020)
Two-Pass End-to-End Speech Recognition
Ruoming Pang
David Rybach
Wei Li
Mirkó Visontai
Qiao Liang
Yonghui Wu
Chung-Cheng Chiu
Interspeech (2019)