Jinyu Li

About

Jinyu Li received his Ph.D. degree in electrical and computer engineering from Georgia Institute of Technology, Atlanta, GA, USA in 2008. He joined Microsoft, Redmond, WA, USA in 2008 and now serves as Partner Applied Science Manager, leading a dynamic team dedicated to designing and enhancing speech modeling algorithms and technologies. Their aim is to ensure that Microsoft products maintain cutting-edge quality within the industry. His diverse research areas include end-to-end modeling for speech recognition and speech translation, deep learning, acoustic modeling, and noise robustness.

Dr. Li is an IEEE Fellow, for contributions to deep-learning-based speech technology innovation and commercialization. He has been a member of IEEE Speech and Language Processing Technical Committee from 2017 to 2023. He also served as the associate editor of IEEE/ACM Transactions on Audio, Speech and Language Processing from 2015 to 2020. He was awarded as the Industrial Distinguished Leader at Asia-Pacific Signal and Information Processing Association (APSIPA) in 2021 and APSIPA Sadaoki Furui Prize Paper Award in 2023. He is named as Distinguished Industry Speakers for IEEE Signal Processing Society, 2025.

What’s New

• Jan 2025: IEEE Fellow (opens in new tab), for contributions to deep-learning-based speech technology innovation and commercialization.
• Jan 2025: Distinguished Industry Speakers (opens in new tab) for IEEE Signal Processing Society. Look forward to working with IEEE SPS chapters to present the speech and multimodal topics in 2025 and 2026.
• May 2024: IEEE SPS webinar “End-to-End Automatic Speech Recognition”, Slides (opens in new tab), Video.  (opens in new tab)
• November 2023: It is my great honor to receive the APSIPA Sadaoki Furui Prize Paper Award for the paper “Recent Advances in End-to-End Automatic Speech Recognition (opens in new tab)” published in APSIPA Transactions on Signal and Information Processing, 2022. Here is the invited talk (opens in new tab) at APSIPA ASC 2023 for receiving the Award.
• December 2022: It was my pleasure to give a keynote talk, “Advancing end-to-end automatic speech recognition and beyond”,  at International Symposium on Chinese Spoken Language Processing (ISCSLP). Slides (opens in new tab), Video (opens in new tab).
• April 2022: The survey paper “Recent Advances in End-to-End Automatic Speech Recognition (opens in new tab)” is published in APSIPA Transactions on Signal and Information Processing.