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 …

Large‐scale acoustic projects generate vast amounts of data that can now be efficiently
processed using deep learning tools. However, these tools often face limitations due to …

This survey explores the symbiotic relationship between Machine Learning (ML) and music,
focusing on the transformative role of Artificial Intelligence (AI) in the musical sphere …

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 …

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

Sketch-based melody creation systems enable people to compose melodies by converting
human-sketched melody contours into coherent melodies that fit the depicted contours. This …

Research on music generation using deep learning has attracted more attention; in
particular, Transformer-based models have succeeded in generating coherent musical …

Automatic music generation (AMG) has been an emerging research topic in AI in recent
years. However, generating user-preferred music remains an unsolved problem. To address …