About the Authors¶
Matthew E. P. Davies is a researcher in the Centre for Informatics and Systems of the University of Coimbra (CISUC). His research interests include the analysis of rhythm in musical audio signals, evaluation methodology, creative music applications, and reproducible research. He has published over 70 refereed conference and journal articles, with over 2300 citations and an h-index of 27. His most recent research has addressed compact deep neural networks for the analysis of rhythmic structure, and computational ethnomusicology. From 2014-2019, Matthew coordinated the SMC group at INESC TEC, and was an Invited Assistant Professor in the University of Porto.
Sebastian Böck received his diploma degree in electrical engineering from the Technical University in Munich in 2010 and his Ph.D. in computer science from the Johannes Kepler University Linz in 2016. Within the MIR community he is probably best known for his machine learning-based algorithms, which pushed the performance of automatic beat tracking and other tasks into regions formerly only achievable by humans. Currently he works as an AI research engineer for enliteAI in Vienna, Austria.
Magdalena Fuentes is a Provost’s Postdoctoral Fellow at the Music and Audio Research Lab and the Center for Urban Science and Progress of New York University NYU working with Juan Pablo Bello. She did her Ph.D. at Université Paris Saclay on multi-scale computational rhythm analysis, with focus on the interaction of microtiming, beats, downbeats and music structure. Before that, she obtained a B.Eng. in Electrical Engineering at Universidad de la República, Uruguay, where she also worked as a research and teaching assistant at the Engineering School and the Music School. Her research interests include Machine Listening, Self-Supervised Representation Learning, Computational Rhythm Analysis and Environmental Sound Analysis. Magdalena is part of the IEEE Audio and Acoustic Signal Processing Technical Committee and has been involved in the organisation of ISMIR, DCASE and computational rhythm workshops, and she has participated as a mentor in WiMIR and multiple programs at NYU.