
Haokun Tian
PhD student in AI & Music CDT
haokun.tian@qmul.ac.uk
Communication Acoustics Lab, Center for Digital Music
Queen Mary University of London, UK
About
I am working with Dr Charalampos Saitis and Dr Stefan Lattner on the project "Timbre Tools for the Digital Instrument Maker." My research focuses are music/timbre representations, neural audio synthesis, and creative AI tools for music. Previously I received my Master's degree in Music Technology at NYU and I was a research intern at Xiaohongshu, where I launched a beat and downbeat tracking system.
Publications
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Haokun Tian, Kun Liu, and Magdalena Fuentes. Beat and Downbeat Tracking with Generative Embeddings. Late Breaking Demo in the International Society for Music Information Retrieval Conference (ISMIR), 2023. <pdf, code>
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Alexander Williams, Haokun Tian, Stefan Lattner, and Mathieu Barthet, Charalampos Saitis. Deep learning-based audio representations for the analysis and visualisation of electronic dance music DJ mixes. AES International Symposium on AI and the Musician, 2024. <pdf, code>
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Charalampos Saitis, Bleiz Macsen Del Sette, Jordie Shier, Haokun Tian, Shuoyang Zheng, Sophie Skach, Courtney N. Reed, Corey Ford. Timbre Tools: Ethnographic Perspectives on Timbre and Sonic Cultures in Hackathon Designs. International Audio Mostly Conference, 2024. <pdf>