The inherent complexity and structure on long timescales make the automated composition
of music a challenging problem. Here we present the Deep Artificial Composer (DAC), a …

Zipf's law is found when the vocabulary of long written texts is ranked according to the
frequency of word occurrences, establishing a power-law decay for the frequency vs rank …

Digital tools offer many ways to find musical patterns with machines. But the task of
formulating digital-musical queries systematically, interpreting the results, and refining our …

The abstraction of musical structures as mathematical objects in a geometrical space is one
of the major accomplishments of contemporary music theory. The author generalizes the …

It is well-known that improvisations by artist-level jazz improvisers contain repeated melodic
and rhythmic patterns. In previous research, we argued that these patterns reflect an …

The troubadours were poet-composers who flourished in Occitania (today southern France)
and surrounding areas during the twelfth and thirteenth centuries. Their lyric poems survive …

This work proposes a mathematical model for computer-aided music composition as a multi-
objective optimization problem. This work aims to create a framework to automatically …

Music informatics, especially study of musical rendition models is one of the most important
areas in computer science and artificial intelligence. In order to investigate and develop …

The use of algorithms in compositional practice has been in use for centuries. With the
advent of computers, formalized procedures have become an important part of computer …

My thesis aims to critically examine three methods in the current state of Computer Music
Analysis. I will concentrate on Music Information Retrieval, Optimization, and Machine …