  Virtual musicians have become a remarkable phenomenon in the contemporary
multimedia arts. However, most of the virtual musicians nowadays have not been
endowed with abilities to create their own behaviors, or to perform music with
human musicians. In this paper, we firstly create a virtual violinist, who can
collaborate with a human pianist to perform chamber music automatically without
any intervention. The system incorporates the techniques from various fields,
including real-time music tracking, pose estimation, and body movement
generation. In our system, the virtual musician's behavior is generated based
on the given music audio alone, and such a system results in a low-cost,
efficient and scalable way to produce human and virtual musicians'
co-performance. The proposed system has been validated in public concerts.
Objective quality assessment approaches and possible ways to systematically
improve the system are also discussed.
