A Human-Computer Duet System for Music Performance
This addresses the challenge of interactive music performance for artists and audiences, though it is incremental as it builds on existing techniques like real-time tracking and pose estimation.
The paper tackled the problem of enabling virtual musicians to perform collaboratively with humans by creating a virtual violinist that automatically performs chamber music with a human pianist based on audio input, resulting in a low-cost and scalable system validated in public concerts.
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.