Recent advances in deep learning have expanded possibilities to generate music, but
generating a customizable full piece of music with consistent long-term structure remains a …

I am delighted to be in a position to write this preface: it is the last task that I need to get done
before I submit the manuscript for production. I have just gone through the checklist. All good …

Research applying machine learning to music modelling and generation typically proposes
model architectures, training methods and datasets, and gauges system performance using …

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 …

Modern psychometric theory provides many useful tools for ability testing, such as item
response theory, computerised adaptive testing, and automatic item generation. However …

Structure is one of the most essential aspects of music, and music structure is commonly
indicated through repetition. However, the nature of repetition and structure in music is still …

Modelling musical structure is vital yet challenging for artificial intelligence systems that
generate symbolic music compositions. This literature review dissects the evolution of …

Most musical compositions utilize repetition as a fundamental element to create captivating
aesthetic experiences. However, the potential of repetition in machine-learning-based …

Recently, machine-learning techniques have been successfully used for the generation of
complex artifacts such as music or text. However, these techniques are still unable to …

Repetition, a basic form of artistic creation, appears in most musical works and delivers
enthralling aesthetic experiences. However, repetition remains underexplored in terms of …