AI methods in algorithmic composition: A comprehensive survey

JD Fernández, F Vico - Journal of Artificial Intelligence Research, 2013‏ - jair.org
Algorithmic composition is the partial or total automation of the process of music composition
by using computers. Since the 1950s, different computational techniques related to Artificial …

Neurophysiological markers of statistical learning in music and language: Hierarchy, entropy and uncertainty

T Daikoku - Brain sciences, 2018‏ - mdpi.com
Statistical learning (SL) is a method of learning based on the transitional probabilities
embedded in sequential phenomena such as music and language. It has been considered …

Potassco: The Potsdam answer set solving collection

M Gebser, B Kaufmann, R Kaminski… - Ai …, 2011‏ - content.iospress.com
Potassco: The Potsdam Answer Set Solving Collection Page 1 AI Communications 24 (2011)
107–124 107 DOI 10.3233/AIC-2011-0491 IOS Press Potassco: The Potsdam Answer Set …

Conflict-driven answer set solving: From theory to practice

M Gebser, B Kaufmann, T Schaub - Artificial Intelligence, 2012‏ - Elsevier
We introduce an approach to computing answer sets of logic programs, based on concepts
successfully applied in Satisfiability (SAT) checking. The idea is to view inferences in …

SAT modulo monotonic theories

S Bayless, N Bayless, H Hoos, A Hu - Proceedings of the AAAI …, 2015‏ - ojs.aaai.org
Boolean satisfiability (SAT) solvers have been successfully applied to a wide variety of
difficult combinatorial problems. Many further problems can be solved by SAT Modulo …

Composing fifth species counterpoint music with a variable neighborhood search algorithm

D Herremans, K Sörensen - Expert systems with applications, 2013‏ - Elsevier
In this paper, a variable neighborhood search (VNS) algorithm is developed and analyzed
that can generate fifth species counterpoint fragments. The existing species counterpoint …

Musical creativity and depth of implicit knowledge: spectral and temporal individualities in improvisation

T Daikoku - Frontiers in computational neuroscience, 2018‏ - frontiersin.org
It has been suggested that musical creativity is mainly formed by implicit knowledge.
However, the types of spectro-temporal features and depth of the implicit knowledge forming …

Composing first species counterpoint with a variable neighbourhood search algorithm

D Herremans, K Sörensen - Journal of Mathematics and the Arts, 2012‏ - Taylor & Francis
In this article, a variable neighbourhood search (VNS) algorithm is developed that can
generate musical fragments consisting of a melody for the cantus firmus and the first species …

Automatic music composition using answer set programming

G Boenn, M Brain, M De Vos, J Ffitch - Theory and practice of logic …, 2011‏ - cambridge.org
Music composition used to be a pen and paper activity. These days music is often composed
with the aid of computer software, even to the point where the computer composes parts of …

Classification and generation of composer-specific music using global feature models and variable neighborhood search

D Herremans, K Sörensen… - Computer Music Journal, 2015‏ - ieeexplore.ieee.org
In this article a number of musical features are extracted from a large musical database and
these were subsequently used to build four composer-classification models. The first two …