Yiting Zhang is an Audio Algorithm Engineer with eight years of experience specializing in Music Information Retrieval, audio signal processing, and machine learning, currently based in Atlanta and working at NetEase Cloud Music. She holds an MS in Music Technology from Georgia Tech and a BS in Audio and Music Engineering from the University of Rochester, where she also contributed as a research and teaching assistant. Her research improved vocal-imitation sound retrieval by 12% using neural networks and audio augmentation, and she built a web-based search engine plus a user-data framework for subjective evaluation. Comfortable bridging research and product, she blends hands-on algorithm development with practical system design to deliver music-focused search and analysis features at scale. An educator at heart, she also designs creative labs and assignments that simplify complex audio concepts for learners.
8 years of coding experience
1 year of employment as a software developer
Master of Science - MS Music Technology, Master of Science - MS Music Technology at Georgia Institute of Technology
Bachelor of Science - BS Audio and Music Engineering, Bachelor of Science - BS Audio and Music Engineering at University of Rochester
An Audio Effects Framework that provides developers an API to create audio effects processing plugins.
Contributions:62 commits in 2 months
apiaudiounitaudioaudio-effectaudio-effects
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Yiting Zhang - Audio Algorithm Engineer at NetEase Cloud Music