Ph.D. Theses

Masters Theses

  • Ari Liloia (2025): Experimental System for Latency-Based Networked Composition Support and Performance (Master of Science in Music and Technology Thesis)
  • Hanzhi Yin (2023): Modeling Dynamic Range Compressor Using S4 (Master of Science in Music and Technology Thesis)
  • Yuxuan Wu (2023): Motif-based Music Representation Learning and Structure Analysis (Master of Science in Music and Technology Thesis)
  • Ruibin Yuan (2023): Benchmarking Music Audio Pre-trained Representations (Master of Science in Music and Technology Thesis)
  • Huiran Yu (2022): A Study of Statistical and Music-Theoretical Melody Prediction (Master of Science in Computer Science Thesis)
  • Zheng Jiang (2019): Computer Based Music Analysis (Master of Science in Music and Technology Thesis)
  • Anirudh Mani (2019): RASM : A Balanced Dataset For Artist Similarity Measure (Master of Science in Music and Technology Thesis)
  • Andrew Russell (2018): Entropy and the Estimation of Musical Ability (Master of Science in Music and Technology Thesis)
  • Che-Yuan Liang (2018): Implementing and Adapting a Downbeat Tracking System for Real-Time Applications (Master of Science in Music and Technology Thesis)
  • Hao Huang (2017): Computer Accompaniment System for Polyphonic Keyboard Performance (Master of Science in Music and Technology Thesis)
  • Haochuan Liu (2014): A Web-based Digital Audio Workstation (Master of Science in Music and Technology Thesis)
  • Dalong Cheng (2013): A Music Player for the Human Computer Music Performance Project (Master of Science in Music and Technology Thesis)
  • Joel Tang (2013) : Extracting Commands from Gestures: Gesture Spotting and Recognition for Real-Time Music Performance (Master of Science in Music and Technology Thesis)
  • Zeyu Jin (2013): Formal Semantics for Music Notation Control Flow (Master of Science in Music and Technology Thesis)
  • Dawen Liang (2012): An Interactive Personal Audio Database for Musicians (Master of Science in Music and Technology Thesis)