Archives July 2021

AIM at IJCNN 2021

On 18-22 July 2021, AIM researchers will participate virtually at the IEEE International Joint Conference on Neural Networks (IJCNN 2021), the flagship conference of the IEEE Computational Intelligence Society and the International Neural Network Society.

The AIM CDT will have a strong presence at the conference, with the following papers authored/co-authored by AIM members to be presented at IJCNN 2021:

  • MusCaps: Generating Captions for Music Audio
    Ilaria Manco, Emmanouil Benetos, Elio Quinton and Gyorgy Fazekas
    Paper
  • A Modulation Front-End for Music Audio Tagging
    Cyrus Vahidi, Charalampos Saitis and Gyorgy Fazekas
    Paper
  • Revisiting the Onsets and Frames Model with Additive Attention
    Kin Wai Cheuk, Yin-Jyun Luo, Emmanouil Benetos and Dorien Herremans
    Paper

Original news post here.


AIM chapter contribution in “Handbook of Artificial Intelligence for Music”

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.