The “Handbook of Artificial Intelligence for Music” is now available online, with a printed version due on 3rd August. The handbook, published by Springer and edited by Eduardo Miranda, covers 34 chapters and over 1,000 pages, providing a comprehensive coverage of the latest advances in research into enabling machines to listen to and compose new music.
The AIM CDT has a contribution in the newly published handbook, through the chapter entitled “From Audio to Music Notation“, authored by Lele Liu and Emmanouil Benetos, focusing on automatic music transcription, the process of automatically converting music audio into musical notation, its challenges and opportunities for research in AI and music.