The ACCompanion: Combining Reactivity, Robustness, and Musical Expressivity in an Automatic Piano Accompanist
Sprache des Titels:
Englisch
Original Buchtitel:
Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), Macau, China
Original Kurzfassung:
This paper introduces the ACCompanion, an expressive accompaniment system. Similarly to a
musician who accompanies a soloist playing a given musical piece, our system can produce a human-like rendition of the accompaniment part
that follows the soloist?s choices in terms of tempo, dynamics, and articulation. The ACCompanion works in the symbolic domain, i.e., it needs a musical instrument capable of producing and playing
MIDI data, with explicitly encoded onset, offset, and pitch for each played note. We describe the components that go into such a system, from real-time score following and prediction to expressive
performance generation and online adaptation to the expressive choices of the human player. Based on our experience with repeated live demonstrations in front of various audiences, we offer an analysis
of the challenges of combining these components into a system that is highly reactive and precise, while still a reliable musical partner, robust to
possible performance errors and responsive to expressive variations.