Generating Improvisations With an Interactive Model based on Cluster Graph

Each agent consists of a knowledge represented by interpolated sub-models trained on a rather large corpus (~50 tunes) and of a intuition represented by a factor oracle constructed on a small corpus (~1 tune).

The agents interact by using message passing through a cluster graph with a belief propagation algorithm. This aim to emulate the cognitif process of interplay between musicians, but also how a musician creates their improvisation over several dimensions.

In the following examples, we use 2 agents : a melodic agent and a harmonic agent. Therefore both the melody and the chords are improvised (the agents are not following the original chord progression). They are trained using the Omnibook corpus (available here).

Examples on Anthropology

Examples on Donna Lee


dyci2/demos/cluster_graph.txt · Dernière modification: 2017/11/08 18:18 par Ken Deguernel