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


  1. 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>

  2. 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>

  3. 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>