About AI for Music

This collection is now closed to submissions.

We invite submissions for a Collection on the topic of AI for Music. An explosion of data combined with new machine learning techniques are transforming many fields, including music. The impact of this transformational technology is most evident in the way music is accessed and disseminated online and the impact this has on artists’ practices and careers. The application of machine learning to tasks previously deemed the preserve of human creativity, such as painting, poetry and music is producing surprising results with notable gaps. In addition to the above examples, AI can be used to transform music teaching, learning, creating and practicing in a variety of new and interesting ways.

Using the F1000Research publishing model, we aim to provide a comprehensive snapshot of current research on AI for music covering a wide range of topics, including, but not limited to:

• AI for creating and producing music and sound 
• AI for the study of music in all its forms 
• AI for music performance and improvisation 
• AI for discovering and accessing music  
• Machine Learning for music assessment 

We welcome submissions that discuss technological innovations as well as those that examines such developments and their implications. We are particularly interested in research on aspects of music production, sound design, and music in multimedia practices; research on non-Western music and other less well studied musical fields. These papers can include research articles, brief reports, method articles, and software articles among other article types. We would like to encourage the embedding of non-standard multimedia and audiovisual components in these submissions, so please contact us if you would like to explore non-standard media submissions. Finally, we welcome contributions from interdisciplinary researchers and research teams as well as contributions from researchers at all career stages.  

Key words: Musicology; Machine Learning; Music Composition; Artificial Intelligence; Creative AI; Systematic Musicology; Ethnomusicology; Computational Creativity

Any questions about this Collection? Please email research@f1000.com

This Collection is part of the Gateway on Artificial Intelligence & Machine Learning, which aims to provide stakeholders across academia, industry and policy with a space to disseminate work related to all areas of machine learning and AI research.