Zhiyan is a MSc student in Sound and Music Computing Lab, School of Computing (http://www.comp.nus.edu.sg/graduates/), National University of Singapore, under the supervision of Assoc. Prof. Wang Ye. He received his bachelor’s degree in Computer Science and Technology from Harbin Institute of Technology in 2009. He joined the Sound & Music Computing Lab in April, 2012, and have been working on singing evaluation related research since then. His research interest is machine learning and its applications with multimedia.
Publications
- Ellis J. Rob, Duan Zhiyan, Wang Ye (2014) Quantifying Auditory Temporal Stability in a Large Database of Recorded Music. PLoS ONE 9(12): e110452. doi:10.1371/journal.pone.0110452
- Zhiyan Duan, Haotian Fang, Bo Li, Khe Chai Sim and Ye Wang. “The NUS Sung and Spoken Lyrics Corpus: A Quantitative Comparison of Singing and Speech“. Asia-Pacific Signal and Information Processing Association Annual Submit and Conference 2013 (APSIPA ASC 2013) (in press)
- Zhuohong Cai, Robert J. Ellis, Zhiyan Duan, Hong Lu, and Ye Wang. “Basic Exploration of Auditory Temporal Stability (BEATS): A novel rationale, method, and visualization“. Proceedings of the 14th International Conference on Music Information Retrieval (in press), 2013
- Zhonghua Li, Ju-Chiang Wang, Jingli Cai, Zhiyan Duan, Hsin-Min Wang, and Ye Wang. “Non-Reference Audio Quality Assessment for Online Live Music Recordings“. Regular paper, ACM Multimedia, October 21 ~ 25, 2013, Barcelona, Catalunya, Spain.
