Maarten Grachten

Maarten Grachten is a researcher in Machine Learning and Music Technology, currently serving as an independent consultant and visiting researcher at the Artificial Intelligence Research Institute (IIIA) in Bellaterra, Spain. Previously, he held senior researcher positions at institutions such as the Department of Computational Perception at Johannes Kepler University (Linz, Austria) and the Austrian Research Institute for Artificial Intelligence (Vienna). His work focuses on computational models of music performance, expressive dynamics, and music information retrieval.

Education:

• PhD in Computer Science and Digital Communication from Pompeu Fabra University (2007)
• M.Sc./B.Sc. in Artificial Intelligence from University of Groningen (2001)
• Propaedeutic year in Philosophy, University of Groningen (1996)

Research Interests:
His research spans machine learning applications in music, expressive performance modeling, and computational creativity. Key areas include:

• Developing algorithms for music generation and analysis
• Modeling human-like musical expression through AI
• Applications of deep learning in audio processing

Awards:
Recipient of several accolades including ISMIR's Outstanding Reviewer Award (2014), Best Reviewer Award (2013), and the Rencon Awards for performance rendering systems. Notably, his work on 'YQX plays Chopin' was featured in AI Magazine.

Grants and Collaborations:
Involved in EU projects like Lrn2Cre8 (FET 2013–2016) and PHENICX (ICT 2013–2016), focusing on interactive music experiences and creative technologies.

Labs/Teams:
Core contributor to projects like the Accompanion system for expressive accompaniment and co-developer of the partitura Python package for symbolic music data handling.