Chang Zeng
Chiyoda, Japan
Summary
👤
Senior🎓
Top SchoolChang Zeng is an AI researcher and PhD candidate based in Chiyoda, Japan, with 8 years of experience in speech signal processing, sequence-to-sequence models, and deep learning across academia and industry. He has driven high-impact speech projects—from large-scale speaker recognition and live-broadcast monitoring at Alibaba to full-duplex conversational systems at 理想汽车—and has published over a dozen papers at venues like Interspeech and ICASSP. His research portfolio includes singing voice and TTS systems (e.g., XiaoiceSing2, CrossSinger) and GAN-based vocoders, with work that enabled high-fidelity, zero-shot multi-singer synthesis. Now focused on deep generative AI for language and audio, he bridges rigorous academic research with production deployment and is building toward a long-term career in generative modeling. An understudied strength is his track record of turning research prototypes into deployed systems that meet real-world scale and regulatory needs.
8 years of coding experience
6 years of employment as a software developer
Doctor's Degree, Informatics, Doctor's Degree, Informatics at National Institute of InformaticsUniversity of TokyoBachelor's degree, Measuring and Controlling Technologies and Instruments, GPA 3.74, Bachelor's degree, Measuring and Controlling Technologies and Instruments, GPA 3.74 at 天津大学Doctor of Philosophy - PhD, Informatics, Doctor of Philosophy - PhD, Informatics at The Graduate University for Advanced Studies, SOKENDAI
Japanese, Chinese, Chinese
Github Skills (92)
language-model10
speech-processing10
python10
deep-learning10
loss-functions10
linux10
ai10
chromeos10
artificial-intelligence10
speech-to-text10
pytorch10
cordova10
machine-learning10
voice-recognition10
vpn9
Programming languages (6)
Github contributions (5)
zengchang233/MTGAN
Oct 2019 - Feb 2020
MTGAN: Speaker Verification through Multitasking Triplet Generative Adversarial Networks
Contributions:19 commits, 27 pushes, 1 branch in 4 months
generative-adversarial-networkspeaker-verificationmtganganneural-network
zengchang233/GMM_baseline
Mar 2019 - Apr 2019
未来杯语音赛道说话人识别的baseline
Contributions:50 commits, 47 pushes, 1 branch in 24 days
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