Nana Hou is an Audio AI Engineer at Zoom with a decade of experience building speech technologies, specializing in expressive text-to-speech and audio deepfake detection. She holds a PhD from Nanyang Technological University, where she published 15 top-conference papers and led projects on low-resource ASR and robust speech recognition for air traffic control. At Zoom she translates cutting-edge research into production-ready features that improve meeting and communication experiences. Beyond product work, she curates the Awesome-Speech-Enhancement repository, signaling a strong commitment to open-science and tooling for the speech community. Based in San Jose, she blends deep academic rigor with practical engineering to address real-world audio challenges.
10 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Sichuan University
Doctor of Philosophy (PhD), computer science and engineering, Doctor of Philosophy (PhD), computer science and engineering at Nanyang Technological University
A tutorial for Speech Enhancement researchers and practitioners. The purpose of this repo is to organize the world’s resources for speech enhancement and make them universally accessible and useful.
Contributions:64 commits, 9 PRs, 60 pushes in 5 months
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