Jacopo de Berardinis, PhD

Music Informatics • Knowledge Engineering

I am an Assistant Professor (Lecturer) in Computer Science at the University of Liverpool.

I also co-lead the DARIAH working group in Artificial Intelligence and Music (AIM), which promotes the collaborative development of a sustainable and interoperable data infrastructure for music research.

My work is at the intersection of AI and Music. I design computational methods and systems to represent, analyse, and connect music, with particular attention to creating trustworthy AI systems that preserve human creativity and promote access to musical knowledge.

Email
jacodb@liverpool.ac.uk
Address
Department of Computer Science
University of Liverpool
Liverpool, L69 3BX, UK
Office
Ashton G12/A
Office Hours
Friday 1-2pm
Jacopo de Berardinis

Research

My research is in Music Informatics and Knowledge Engineering, with a focus on Music Information Retrieval, Responsible Music AI, and Multimodal Knowledge Graphs.

This ranges from the design of computational music analysis and information retrieval, to engineering knowledge systems promoting access and interoperability of multimodal resources. My vision is to develop trustworthy AI that supports human creativity, improve our understanding and appreciation of music, and preserve musical heritage.

News & Announcements

March 2025
RAIM Framework

The Responsible AI Music (RAIM) initiative aims to provide guidance for designing trustworthy generative music AI. We are currently evaluating the framework with interdisciplinary domain experts. Check out the preprint and the project website for details.

Oct 2024
Job Opportunity

Join our team as a Postdoctoral Research Associate in Computer Science to work on Music Knowledge Graphs in the city of Liverpool. Find out more.

July 2024
New Role

I joined the University of Liverpool as an Assistant Professor (Lecturer) in the School of Informatics and Computer Science (AI Research Unit).

June 2024
Video Release

Keynote speaker recordings from the 1st International Workshop on Generative Neuro-Symbolic AI @ ESWC 2024 are now available on our website.

Selected Publications

For a more comprehensive and updated list of publications, check out my Google Scholar page.

ChoCo: a Chord Corpus and a Data Transformation Workflow for Musical Harmony Knowledge Graphs

2023

J. de Berardinis, A. Meroño-Peñuela, A. Poltronieri, V. Presutti, in Scientific Data, vol. 10, 641, 2023.

Article • Code • Data • Slides

The Harmonic Memory: a Knowledge Graph of harmonic patterns as a trustworthy framework for computational creativity

2023

J. de Berardinis, A. Meroño-Peñuela, A. Poltronieri, V. Presutti, in Proceedings of the ACM Web Conference 2023, pp. 3873-3882.

Article • Code • Slides

Measuring the Structural Complexity of Music: From Structural Segmentations to the Automatic Evaluation of Models for Music Generation

2022

J. de Berardinis, E. Coutinho, A. Cangelosi, in IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), vol. 30, 2022.

Article • Code • Slides

Unveiling the Hierarchical Structure of Music by Multi-Resolution Community Detection

2020

J. de Berardinis, M. Vamvakaris, E. Coutinho, A. Cangelosi, in Transactions of the International Society for Music Information Retrieval (TISMIR), 3(1), 2020.

Article • Code • Slides

About

Before my appointment, I worked on the S+T+ARTS MUSAE project and on the EU H2020 Polifonia project, where I lead the INTERLINK pilot. I received a PhD in Machine Learning from the University of Manchester. My dissertation, "Structural complexity in music modelling and generation with deep neural networks" focused on the automatic evaluation of generative models in regard to their ability to compose music with realistic structure.

Jan-June 2024
Research Associate
University of Manchester, S+T+ARTS MUSAE project
May 2021 - 2023
Research Associate
King's College London (Distributed AI group), under the EU H2020 Polifonia project
2018 - 2021
PhD in Machine Learning
University of Manchester (ELLIS unit), Machine Learning and Robotics (MLR) group
2017 - 2018
Research Assistant
University of Camerino: Multi-agent systems for traffic modelling and simulation
2014 - 2016
MSc in Computer Science
Reykjavik University, University of Camerino (Double Degree)

Contact

I am actively seeking motivated students to work on Music AI projects. If you are passionate about exploring any of the research topics listed above or have a unique project proposal in mind, I encourage you to reach out!

Connect with me via email at jacodb@liverpool.ac.uk.