Lu Huang
Speech Recognition Algorithm Engineer at ByteDance
Haidian District, Beijing, China
Summary
👤
Senior🎓
Top SchoolLu Huang is a speech recognition algorithm engineer with a decade of experience focused on deep learning and acoustic modeling, currently driving ASR research and development at ByteDance AI Lab. Trained at Tsinghua University (MEng) and with internship roots at the Institute of Acoustics, he blends rigorous academic grounding with hands‑on production work on speech systems since 2016. At ByteDance he progressed from research intern to engineer, contributing to real-world speech recognition pipelines and model improvements at scale. Known on GitHub for a collaborative "To Share, To Improve!" philosophy, he pairs practical engineering with an openness to community-driven refinement. Subtle but notable: his background spans both low-level systems work (USB server/client on Linux) and advanced acoustic modeling, giving him a rare cross-stack perspective in speech software.
10 years of coding experience
Master of Engineering - MEng, Speech Recognition; Deep Learning, Master of Engineering - MEng, Speech Recognition; Deep Learning at Tsinghua University
English
Github Skills (83)
text-to-speech10
speech10
lstm-neural-networks10
rnn-model10
location10
mask10
object-detection10
shell10
gru10
speech-synthesis10
cuda10
speech-to-text10
speaker-verification10
chainer10
recurrent-neural-networks10
Programming languages (6)
Github contributions (5)
hlthu/Self-Contained-NN
Dec 2017 - Dec 2017
Contributions:53 commits, 46 pushes, 1 branch in 11 days
hlthu/TensorFlow_End2end_ASR
Sep 2017 - Mar 2018
Contributions:16 PRs, 18 pushes, 6 branches in 5 months
end-to-endctcrecognitionspeech-recognitiontensorflow
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