Mei-Yuh Hwang |
Affiliate Professor at EE Department
University of Washington
Mobvoi is hiring!
Mei-Yuh is the director at
Mobvoi AI Lab, in Redmond WA. Mobvoi makes speech-enabled
devices, from hardware to software, all in-house.
Mei-Yuh received her PhD in Computer Science from Carnegie Mellon
University in December 1993, specializing in speech recongition.
After graduation, she worked for Microsoft through 2004 in speech
research and products.
From 2004-2008 she joined University of Washington and led
the GALE Mandarin speech recognition project.
In 2008 she returned to
Microsoft Research and was one of the core scientists behind
From 2012-2015, she led speech recognition and language understanding
for non-English versions of Cortana in China, until she returned to
U.S. in 2016, leading Mobvoi AI Lab.
Over the past two decades,
Mei-Yuh has made many significant contributions to spoken language processing,
both in academia
and in industry.
Mei-Yuh was the first to propose
Markov state clustering based on decision trees for continuous speech recognition. The idea
of shared states (or
senones as Mei-Yuh named it in 1992) has been widely adopted since its
inception. Although CTC end-to-end speech recognition is gaining popularity,
most commercial speech recognizers
continue to use senones, including
the popular open-source toolkit
was a gold reference guide on building a strong Mandarin
Skype speech-to-speech translator
Mei-Yuh implemented a
map-reduce training infrastructure for Microsoft Translator,
designed and implemented
Bing Translation Hub that is still actively used by small
After the successful launch of non-English Cortana, Mei-Yuh further led
her team to adapt Cortana speech recognizers to spontaneous conversation
speech in 2014, for
Skype speech-to-speech translation.
Spoken language understanding
To deliver non-English Cortana without human annotated data,
an adapted translation algorithm which
offered both paraphrasing and generalization capabilities
with required slot tags.
The protoype model was further improved via
iterative data augmentation using RNN.
The impressive success of Chinese Cortana gained much attention within China, and sparked the development of
personal assistants and AI across China.
Mei-Yuh continued to integrate Cortana language
understanding models into Microsoft cognitive services. She also shipped a
language-model adaptation tool on the same AI platform for
customized speech recognition.
- 2015-2018: IEEE ISCSLP steering committee
- 2013: IEEE associate editor for Transactions on Audio, Speech, and Language Processing (ASLP)
- 2012: IEEE Senior member
- 2011: Technical Chair of IWSLT
- 1998: Publicity Chair IEEE ICASSP
- Reviewers for IEEE Transactions on ASLP
- Technical committee for ICASSP, Interspeech, ISCSLP, ACL, NAACL
- 2017: UWEE
Research Colloquium Talk
- 2017: Panelist,
- 2017: Talk at Southwest Forestry Univerisity, Kunming, China
- 2015: Talk at Soochow University, Suzhou, China
- 2014: Talk at University of Science and Technology of China, Suzhou campus
- 2014: Keynote speech at PhD Forum, Northwestern Polytechnical University, Xi-an, China
- 1994-2003: Lecturer at National Taiwan University, Academia Sinica, and ITRI, Taiwan
- 1993: Lecturer at IBM Gaithersburg
- 2010, Microsoft Gold Star Award from Microsoft Research, Redmond, WA
- 1992, Allen Newell Research Excellence Medal, Pittsburgh, CMU
Mei-Yuh's personal home page