AIM students and staff to join the Alan Turing Institute

The Alan Turing Institute, the UK’s national institute in artificial intelligence and data science, is a project partner of the AIM CDT and three AIM PhD students and six AIM supervisors will join the Turing in Autumn 2021.

The following AIM PhD students will join the Turing as Enrichment students in 2021/22:

  • Lele Liu – Enrichment project: Cross-domain automatic music audio-to-score transcription
  • Ilaria Manco – Enrichment project: Multimodal deep learning for music information retrieval
  • Luca Marinelli – Enrichment project: Gender-coded sound: A multimodal data-driven analysis of gender encoding strategies in sound and music for advertising

The Turing’s Enrichment scheme offers students enrolled on a doctoral programme at a UK university an opportunity to boost their research project with a placement at the Turing for up to 12 months.

The following AIM supervisors have been appointed Turing Fellows in 2021/22:

Turing Fellows are scholars with proven research excellence in data science, artificial intelligence or a related field whose research would be significantly enhanced through active involvement with the Turing network of universities and partners.

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

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.