SUNSHIYU WANG

PORTFOLIO

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01 / ABOUT

General Information

Sunshiyu Wang is a master’s student in Music Technology at the Georgia Institute of Technology, where he conducts research with the Music Informatics Group under the supervision of Prof. Alexander Lerch. His research focuses on deep learning for audio, spanning sound-effect generation and classification, music data augmentation for source separation, and beat/downbeat tracking. He also worked on text-to-speech and voice conversion systems during his industry internship, focusing on model fine-tuning, architecture redesign, and pipeline development. Complementing his work in audio machine learning, he contributes to HCI projects that combine his formal music education at Berklee College of Music with his experience as a pianist and music producer to explore music interaction through spatial audio, virtual reality and games.

02 / RESEARCH

Selected Research

Georgia Institute of Technology — Music Informatics Group ↗
Graduate Researcher, Advisor: Alexander Lerch

Current Research Focus

Machine learning for music and audio, with an emphasis on music data augmentation, beat and rhythm analysis, voice conversion, and immersive interactive audio systems.

03 / PROJECTS

Lead Projects

PARTICIPATED PROJECTS

  • Sound CloudsContributed to surround sound system development and infrastructure setup.
  • Pocket GranulesAssisted with the testing and design of a multi-head granular audio effect.
  • Scare-CrewServed as the game sound designer, creating and implementing sound effects and interactive audio elements.
  • Extending XenakisContributed to the architectural sonification system through Python development, audio mapping design, and paper writing.

04 / MUSIC

Music Work