AIM at SMC 2024

Logo of SMC 2024 conferenceOn 4–6th July, several AIM PhD students will participate in the 2024 conference on Sound and Music computing (SMC 2024) in Porto, Portugal. With this years theme being ‘immersive’, the conference brings together interdisciplinary work from composers, scientists and other researchers tackling engagement with digital sound and music.

The Centre for Digital Music will be present with work ranging from piano transcription to latent audio models. We look forward to sharing the below papers, authored or co-authored by AIM members:

  • A Generative Framework for Composition-aware Loop Recommendation In Music Production: Drum2Bass Use Case, by Xiaowan Yi and Mathieu Barthet
  • Simulating Piano Performance Mistakes for Music Learning Context, by Alia Morsi (Universitat Pompeu Fabra), Huan Zhang, Akira Maezawa (Yamaha Corporation), Simon Dixon and Xavier Serra (Universitat Pompeu Fabra)
  • Temporal Analysis of Emotion Perception in Film Music: Insights from the FME-24 Dataset, by Ruby O.N Crocker and George Fazekas
  • Reconstructing the Charlie Parker Omnibook using an audio-to-score automatic transcription pipeline, by Xavier Riley and Simon Dixon

AIM students organise and participate at the AES International Symposium on AI and the Musician

AES international symposium on AI and the Musician logo and event date.AIM PhD students both organised and presented at the AES International Symposium on AI and the Musician, which took place on 6-8 June 2024 at the Berklee College of Music, Boston, MA, USA.

AIM PhD student Christian Steinmetz was both Papers Chair and Workshops Chair for the symposium, and was instrumental in organising a successful event.

The following works were authored/coauthored by AIM PhD students and academic staff:


AIM at KCL Interdisciplinary Perspectives

Programme of KCL workshopOn the 11th of June, AIM PhD student Luca Marinelli will participate at the King’s College Workshop on Interdisciplinary Perspectives: Bridging Sociological Studies in the Digital Age. Organised by DDH PhD students, this event aims to foster discussions and collaborations across various disciplines, specifically including Natural Language Processing (NLP), Social Sciences, and Social Media and Digital Methods in broader research in Digital Humanities.

Luca Marinelli will present the work: Towards Musically-informed Automated Discourse Analysis: A Case Study in Gender and Media by Marinelli L., Saitis C