Wen Wang, Senior Research Engineer, Speech Technology and Research Laboratory | SRI International

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Wen Wang

Senior Research Engineer, Speech Technology and Research Laboratory

Wen Wang, Ph.D., a senior research engineer in SRI International's Speech Technology and Research Laboratory, has been with SRI International since 2002. She has published more than 80 journal articles, book chapters, and other peer-reviewed papers, making research contributions on natural language processing including information extraction, language modeling for speech recognition and machine translation, spoken language processing and understanding, and speech recognition.

Wang is currently technical lead for SRI's team on the Defense Advanced Research Projects Agency's (DARPA's) Broad Operational Language Translation (BOLT) program, developing a speech-to-speech translation system with error detections and clarifications/corrections through a dialog system. Previously, she was co-PI of machine translation and information retrieval activity for SRI’s team on the BOLT program, responsible for coordinating and contributing to information retrieval research and development for informal genre data.

She was co-PI for SRI’s team on the the Intelligence Advanced Research Projects Activity (IARPA) Socio-cultural Content in Language (SCIL) Program program, responsible for research and development in detecting speaker roles, social relations, and speaker characteristics from spoken interactions. She was also a key contributor to SRI’s team on DARPA’s Global Autonomous Language Exploitation (GALE) program, responsible for coordinating Mandarin speech recognition research and working on language modeling and machine translation, automatic natural language processing and rich annotations, information extraction, and information distillation. She was also part of the SRI team for DARPA's Effective, Affordable Reusable Speech-to-text (EARS) program, developing advanced language modeling techniques, and was a key contributor to SRI’s Virtual Environments Real User Study (VERUS) team on an IARPA project, developing features and exploring machine learning for text analytics on online chat to detect users’ real-world demographics. She has also worked on multimedia event detection and large-scale phonetic research.

Wang has served as editor for the journals IEEE Transactions on Audio Speech and Language Processing, Computer Speech and Language, IEEE Signal Processing Magazine, and the Journal of AI Research. She is a member of the IEEE Signal Processing Society and Association of Computational Linguistics.

Her Ph.D. in computer engineering is from Purdue University.

View selected publications on Google Scholar.

Wen Wang