Computational Creativity is a multidisciplinary field that tries to obtain creative behaviors
from computers. One of its most prolific subfields is that of Music Generation (also called …

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 …

Human-AI co-creativity involves both humans and AI collaborating on a shared creative
product as partners. In a creative collaboration, interaction dynamics, such as turn-taking …

Melody generation from lyrics has been a challenging research issue in the field of artificial
intelligence and music, which enables us to learn and discover latent relationships between …

Musical metacreation (MuMe), also known as musical computational creativity, is a subfield
of computational creativity that focuses on endowing machines with the ability to achieve …

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 …

Markov chains are a well known tool to model temporal properties of many phenomena,
from text structure to fluctuations in economics. Because they are easy to generate …

Many systems use Markov models to generate finite-length sequences that imitate a given
style. These systems often need to enforce specific control constraints on the sequences to …

We introduce a method for imposing higher-level structure on generated, polyphonic music.
A Convolutional Restricted Boltzmann Machine (C-RBM) as a generative model is combined …

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 …