About

Zhiyan Duan is a research assistant at Sound & Music Computing Lab at National University of Singapore. 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 interests are machine learning and its applications with multimedia.

Publiations

  • 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”. Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Submit and Conference 2013 (APSIPA ASC 2013) (pdf, slides)
  • 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, 2013 (pdf)
  • 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”. Proceedings of the 21st ACM international conference on Multimedia, 2013 (pdf)