Xuedong Huang

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Xuedong Huang
Dr Xuedong Huang.jpg
Born (1962-10-20) October 20, 1962 (age 55)
Hunan, China
Citizenship American (since 1995)
Alma mater Hunan University
Tsinghua University
Edinburgh University
Awards Wired Magazine Next List 2016
2011 Asian American Engineer of the Year
IEEE 1993 Paper Award
Allen Newell Research Excellence Medal
Scientific career
Fields Speech Recognition
Natural Language Processing
Software Development
Institutions Microsoft
Carnegie Mellon University
Doctoral advisor Mervyn Jack

Xuedong Huang (Simplified Chinese: 黄学东, born October 20, 1962) is a Chinese-American computer scientist and the key person behind Microsoft's spoken language processing technologies. He is a Microsoft Technical Fellow and company's Chief Speech Scientist. Wired magazine named him one of 25 Geniuses in Next List 2016. [1]


Huang grew up in Hunan, China and became a US citizen in 1995. He received his B.S. degree in computer science from Hunan University in 1982, his MS in computer science from Tsinghua University in 1984, and his PhD in Electrical Engineering from the University of Edinburgh in 1989.


Academic research[edit]

He joined Carnegie Mellon University in 1989 and worked with Raj Reddy and Kai-Fu Lee on speech recognition. At CMU, Huang directed Sphinx-II speech system research and had the best overall performance in every category of DARPA's 1992 benchmarking. He received the Allen Newell research excellence medal for his leadership in speech recognition in 1992, and IEEE Speech Processing Best Paper Award in 1993. He became an IEEE Fellow in 2000.

Huang has co-authored over 100 papers and two books: Hidden Markov Models for Speech Recognition, (1987) and Spoken Language Processing, Prentice Hall](2000). In 2014 he coauthored a historical speech recognition review with Raj Reddy and James K. Baker for Communications of the ACM that reflected several generations of speech research.[2] In 2016, he led his team reaching a historical human parity milestone in transcribing conversational speech on the Switchboard task. [3]

Huang is the Honorary Dean and Professor of School of Software Engineering at his alma mater Hunan University. In 2017 he became a Fellow of the Association for Computing Machinery.[4]


Huang has spent his career helping to advance spoken language and web search technologies in a variety of capacities. He is best known for founding and leading Microsoft's speech recognition initiatives. He is also known for his pioneering work on Microsoft's multimodal interactive MiPad prototype [5] as Bill Gates demonstrated at the Consumer Electronics Show in his keynote speech in 2001.

Huang was instrumental in introducing Microsoft's Speech Application Programming Interface (SAPI) and speech recognition/TTS technologies to the public. From 2000 to 2004, Huang served as the general manager of Microsoft's Speech Platforms Group and shipped Microsoft Speech Server and other voice technologies used in Microsoft Windows, Microsoft Office, Windows Mobile and Microsoft Exchange Server. Microsoft Response Point received 2009's Technology of the Year Awards as the best VOIP phone system from the InfoWorld Magazine.[6] From 2009 to 2014, he served as the Architect for Bing and worked on massive scale machine learning on intent understanding, mobile, and ranking that enabled Bing's significantly improved search quality.

He is currently leading Microsoft's Speech and Language Group. He helped to initiate and ship Microsoft Cognitive Services and Cognitive Toolkit CNTK. The Speech and Dialog research group continues to advance core speech technologies used in Microsoft's products such as Microsoft Cortana and Microsoft Translator.

TV and books[edit]

  • Robert MacNeil, William Cran, Robert McCrum (2005). Do You Speak American? page 191-197, Harcourt Trade
  • PBS TV: Do You Speak American? 2005
  • Xuedong Huang, Alex Acero, Hsiao-Wuen Hon (2001). Spoken Language Processing: a guide to theory, algorithm, and system development, page 1-980. Prentice Hall
  • Xuedong D Huang, Yasuo Ariki, Mervyn A Jack (1990). Hidden Markov Models for Speech Recognition, Edinburgh University Press


External links[edit]