Ye Wang is an Associate Professor in the Computer Science Department at the National University of Singapore (NUS). He established and continues to direct the Sound and Music Computing (SMC) Lab within the NUS School of Computing. Before joining NUS, he was a Member of the Technical Staff at Nokia Research Center in Tampere, Finland […]
Wei Wei is a PhD student in School of Computing, NUS, under the supervision of Associate Professor Wang Ye. He graduated from Beihang University and joined the Sound & Music Computing Lab in 2017. His current research focus is on robust sound event detection for real life recordings.
Ma Xichu is a PhD student in School of Computing, NUS, under the supervision of Assoc. Prof. Wang Ye. He received a BSc in Internet of Things from Sichuan University, China in 2017. His current research interests lie in note-domain music variation and composition as well as machine learning. And he is currently working on […]
Mingqian is a PhD student at School of Computing in NUS, under the supervision of Assoc. Prof. Wang Ye. Holding a Bachelor of Computer Science degree from University of Malaya, his research interests lie in integrating acoustic applications with the embedded system.
Xiao Chang is a research assistant working on speech recognition and audio pitch tracking. He is an amateur singer with 10+ years of choir experience in Shanghai Jiao Tong University, where he completed his Bachelor and PhD in information security and control engineering, respectively. Besides singing, he is interested in playing with audio equipments and […]
Huang Hengguan is now a Ph.D. student supervised by Prof. Wang Ye in the School of Computing at National University of Singapore. Before that, he obtained his M.Phil degree in CSE at the Hong Kong University of Science and Technology. His research interests are in Bayesian learning, stochastic processes, differential equations and many applications in […]
Xue Fuzhao is an intern in SMC and a senior student in Harbin Engineering University. Now, he is working on automatic speech recognition and pronunciation evaluation. His current research focuses on building Bayesian acoustic model for pronunciation evaluation system.