Talk1：“Arts or Engineering? Music Perception and Recognition: using expressive timing analysis as an example”
Presenter：Dr. Shengchen Li（李圣辰）
Music perception and recognition are fairly complicated human activities. However, since decades ago there are many efforts trying to use mathematics to make the musicology research more precise and objective. As a result, computational musicology appeared. Typical computational musicology work includes investigating how the music terms can be precisely described and how the performances can be objectively evaluated despite the lack of well-acknowledged success. With the development of Music Information Retrieval (MIR) and statistical analysis methods, the performance of computational musicology research becomes better and better but the success of computational musicology works still depend on the rapid development of MIR technology and the improvement of machine learning methods.
In this seminar, the presenter will take the analysis of expressive timing as an example to show how a piece of computational musicology work should be performed and how computational musicology interacts with machine learning algorithms and music theories. Although existing works still have a long way to go for reaching well-acknowledge states, reviewing the current state-of-the-art works helps us to understand how the potential computational works should go and where the future works can go.
Graduated from joint program between Beijing University of Posts and Telecommunications (BUPT) and Queen Mary University of London (QMUL), Dr. Shengchen Li obtained his Bachelor of Engineering (China) and BSc (Honoured) in the year of 2011. Then he went to Centre for Digital Music (C4DM), QMUL for his PhD following the supervision of Prof. Mark Plumbley and Prof. Simon Dixon. With the doctoral degree awarded in the year of 2016, he went back to BUPT as a lecturer in the Embedded Artificial Intelligence research group, Institution of Information Photons and Optical Communications, BUPT.
His research focuses on music perception and recognition with mathematical models especially in the analysis of expressive timing. His work has been published by multiple main conferences of music information processing such as ICMPC, CMMR, SMC and ISMIR, which shows the acknowledge of the majority of society. Besides working as a scientific researcher, he also gets involved of music works as a musician as he has followed the piano forte Jin Ju for piano performance and has participated Imola International Piano Festival as an organiser. This unique background provides the work of Dr. Shengchen Li not only a scientific sense but also a good music sense.
Presenter：Prof. Yi Qin（秦毅）