THESES
COMPUTER MUSIC PROJECT
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)