Deep learning methods are recognised as state-of-the-art for many applications of machine
learning. Recently, deep learning methods have emerged as a solution to the task of …

In this paper we present a 12-dimensional tonal space in the context of the Tonnetz, Chew's
Spiral Array, and Harte's 6-dimensional Tonal Centroid Space. The proposed Tonal Interval …

Machine learning is widely used in various practical applications with deep learning models
demonstrating advantages in handling huge data. Treating music as a special language and …

In tonal music, musical tension is strongly associated with musical expression, particularly
with expectations and emotions. Most listeners are able to perceive musical tension …

Music composition is now appealing to both musicians and non-musicians equally. It
branches into various musical tasks such as the generation of melody, accompaniment, or …

This work presents an algorithmic approach to the problem of strategy assignment to the
members of a swarm of autonomous vehicles. The proposed methodology draws inspiration …

Engaging computers in composing musical pieces is a challenging and trending field of
research. The musical tasks that can be performed or aided by computers' computational …

Music composition is one of the oldest artistic pursuits. The role of machine in automatic
generation of creative artworks, like music, is still an explorable area. In this paper, a new …

Existing evolutionary approaches to automatic composition generate only a few melodies in
a certain style that is specified by the setting of parameters or the design of fitness functions …

Chord progressions play an important role in Western tonal music. For a novice composer,
the creation of chord progressions can be challenging because it involves many subjective …