Polymetric Rhythmic Feel for a Cognitive Drum Computer
This work addresses music cognition and computational music generation for musicians and researchers, but it is incremental as it builds on existing preference rule systems and applies them to a specific domain.
The paper tackled the problem of deriving polymetric structures in music cognition by developing a preference rule system that infers local polymetric structures like two-over-three and three-over-two, and implemented it into a drum computer that adjusts binary and ternary swing based on user input, resulting in a discovered six-pulse timing pattern from West African percussion music.
This paper addresses a question about music cognition: how do we derive polymetric structures. A preference rule system is presented which is implemented into a drum computer. The preference rule system allows inferring local polymetric structures, like two-over-three and three-over-two. By analyzing the micro-timing of West African percussion music a timing pattern consisting of six pulses was discovered. It integrates binary and ternary rhythmic feels. The presented drum computer integrates the discovered superimposed polymetric swing (timing and velocity) appropriate to the rhythmic sequence the user inputs. For binary sequences, the amount of binary swing is increased and for ternary sequences, the ternary swing is increased.