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Panel – Sounding Difference: Music AI across Cultures


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About The Speaker

Rujing “Stacy” Huang

Rujing Huang, scholar, singer-songwriter, and composer, completed her PhD (2019) in Ethnomusicology from Harvard University, where her work crossed boundaries between musicology, music theory and sound studies, as well as early Chinese history and philosophy. In 2020, she joined KTH Royal Institute of Technology (Stockholm) as a postdoctoral researcher on “Music Cultures & Artificial Intelligence”.
Position:

Singer-songwriter, and composer, PhD in Ethnomusicology from Harvard University


speaker_info

About The Speaker

Lamtharn “Hanoi” Hantrakul

Research Scientist in Machine Learning (ML), TikTok/ByteDance R&D. Hanoi is a Bangkok-born Shanghai-based Cultural Technologist, Research Scientist and Composer. As an AI researcher, Hanoi focuses on audio ML that is inclusive of musical traditions from around the world. At Google AI, he co-authored the breakthrough Differentiable Digital Signal Processing (DDSP) library with the Magenta team and led its deployment across two Google projects: Tone Transfer and Sounds of India. At TikTok, he continues to develop AI tools that empower music making across borders and skill levels. As a Cultural Technologist, he has won international acclaim for his cross-cultural fiddle “Fidular” (Core77, A'), which has been displayed in museums and exhibitions in the US, EU and Asia. Hanoi innovates at the confluence of technical, artistic and cultural dimensions and holds degrees in Applied Physics and Music Composition, both with Distinction, from Yale University and an MSc from Georgia Tech. He is fluent in French, Thai, English and is working on his Mandarin.
Position:

Research Scientist in Machine Learning (ML), TikTok/ByteDance R&D