Researcher · Executive
Li Deng
Vatic LabsChief AI Officer and Global Head of Machine Learning
Deng helped drive the shift from traditional speech-recognition pipelines to deep neural networks. His work with researchers at Microsoft and the University of Toronto showed that large neural models could sharply improve how computers transcribe speech.[1]
Career & education
Vatic Labs2022-present
Microsoft2016-2017
University of Waterloo1996-1999
University of Wisconsin-MadisonWork and education history is primarily focused on AI-relevant roles and may not be comprehensive.
Citation Trend
Selected contributions
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
With Geoffrey Hinton, Dong Yu, George Dahl, Abdel-rahman Mohamed, Navdeep Jaitly, Andrew Senior, Vincent Vanhoucke and others ·Reviewed how deep neural networks improved the recognition of speech from recorded audio.
References
- Deep Neural Networks for Acoustic Modeling in Speech Recognitionmicrosoft.com
Deng and collaborators summarize results showing how deep networks improved speech recognition across several research groups.
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Reviewed August 9, 2026 · Checked for accuracy and new information.