Significant progress has been made in symbolic music generation with the help of deep
learning techniques. However, the tasks covered by symbolic music generation have not …

In recent years, AI-generated music has made significant progress, with several models
performing well in multimodal and complex musical genres and scenes. While objective …

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 …

Creative AI has had and will continue to have immense impact on creative communities and
society more broadly. Along with the great power, these techniques provide and come …

The rapid advancement in machine learning has led to a surge in automatic data
generation, making it increasingly challenging to differentiate between naturally or human …

There have been many attempts to model the ability of human musicians to take a score and
perform or render it expressively, by adding tempo, timing, loudness, and articulation …

Music-generative AI raises multiple challenges particularly related to the work of artists, the
existing music industry model, the role of AI in creative processes, and the discussion of …

Artificially intelligent music technology (AIMT) is a promising field with great potential for
creating innovation in music. However, the considerations and concerns surrounding AI …

Creativity is the ability to produce novel, useful, and surprising ideas, and has been widely
studied as a crucial aspect of human cognition. Machine creativity on the other hand has …

We discuss the design and results of The Ai Music Generation Challenge 2022 and
compare it to the previous two challenges. While the 2020 challenge focused on generating …