Jitong Chen

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Jitong Chen is a research scientist at Baidu Silicon Valley AI Lab. His research focuses on data-driven speech separation in adverse environments. He is also interested in robust automatic speech recognition (ASR) systems and text to speech (TTS) systems, as well as auditory scene analysis and natural language understanding and is fluent in English and Chinese.

Chen received his Ph.D. in Computer Science and Engineering from Ohio State University in 2017. While studying for his Ph.D., he worked with Professor DeLiang Wang in the Perception and Neurodynamics Laboratory at Ohio State. As a research associate during his six years there, he did research in areas such as speech enhancement, improving speech intelligibility in noise, and supervised speech separation.

In the summer of 2015, Chen spent four months as a data science intern at MetaMind in Palo Alto. His work there was in the area of deep learning for natural language processing. In the summer of 2016, he spent four months as a research intern at Google in New York. His work there was in the areas of speech and language algorithms and context-aware neural language modeling.

Upon completion of his Ph.D. program at Ohio State, Chen took a position as a research scientist at Baidu in Silicon Valley. His work there is in the areas of speech recognition and speech synthesis.