Ke Wang
Senior Software Engineer at Microsoft
Haidian District, Beijing, China
Summary
👤
Senior🎓
Top SchoolKe Wang is a Senior Software Engineer with 10 years of experience specializing in speech AI, currently leading Azure Pronunciation Assessment at Microsoft. He holds BE and MEng degrees in Computer Science from Northwestern Polytechnical University and has deep research and hands-on expertise in ASR, TTS, speech enhancement/separation, and pronunciation assessment. At Microsoft he evolved speech-assessment systems from GOP-based approaches to neural models and expanded support from en-US to 32 additional locales, improving accuracy, fluency, and miscue detection. His background includes developing neural vocoders (MelGAN, HiFiGAN, WaveGrad) and work on synthetic speech detection, reflecting end-to-end mastery from model training to production engines. Prior internships at MSRA and Xiaomi sharpened his skills in single-channel separation and robust recognition, giving him both academic rigor and real-world deployment experience. He combines research instincts with product-driven delivery, often bridging cutting-edge speech research and scalable cloud services.
10 years of coding experience
5 years of employment as a software developer
Master of Engineering - MEng, Computer Science and Technology, Master of Engineering - MEng, Computer Science and Technology at Northwestern Polytechnical University
Chinese, English
Github Skills (13)
google-app-engine7
kindle4
rss4
python4
mobi3
semantic2
segmentation2
image-segmentation2
deep-learning2
semantic-segmentation2
convolution2
computer-vision2
pytorch2
Programming languages (1)
Github contributions (3)
crabwq/crabwq.github.io
Jun 2015 - Jun 2015
Contributions:3 pushes, 2 branches in 1 day
fyu/dilation
Aug 2017 - Aug 2017
Dilated Convolution for Semantic Image Segmentation
Contributions:1 comment in 1 day
pytorchdilated-convolutionsemantic-segmentationdeep-learningimage-segmentation
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