  Generative artificial intelligence models can be a valuable aid to music
composition and live performance, both to aid the professional musician and to
help democratize the music creation process for hobbyists. Here we present a
novel method that, given an English word or phrase, generates 2 compasses of a
4-piece drum pattern that embodies the "mood" of the given language cue, or
that could be used for an audiovisual scene described by the language cue. We
envision this tool as composition aid for electronic music and audiovisual
soundtrack production, or an improvisation tool for live performance. In order
to produce the training samples for this model, besides manual annotation of
the "scene" or "mood" terms, we have designed a novel method to extract the
consensus drum track of any song. This consists of a 2-bar, 4-piece drum
pattern that represents the main percussive motif of a song, which could be
imported into any music loop device or live looping software. These two key
components (drum pattern generation from a generalizable input, and consensus
percussion extraction) present a novel approach to computer-aided composition
and provide a stepping stone for more comprehensive rhythm generation.
