New Colleague: KCL team welcomes Jacopo de Berardinis

Jacopo de Berardinis brings his expertise in Music Information Retrieval to the Polifonia project

Jacopo de Berardinis at his home office.
21 May 2021

Jacopo de Berardinis  is a postdoctoral research associate at King’s College London, currently working at the intersection of machine learning and knowledge representation for music. Previously, he was a PhD student at the Machine Learning and Robotics research group (University of Manchester), and research assistant at the Applied Music Research Lab (University of Liverpool).

Jacopo’s main research interests revolve around the application of machine learning techniques to the field of music information retrieval (MIR), with the goal of designing computational methods for the automatic analysis of music – serving the interests and needs of artists, musicologists, music psychologists and researchers. In particular, his work focuses on music structure analysis, music modelling and generation, and music emotion recognition.Jacopo de Berardinis brings expertise in the MIR research domain, and he is particularly excited about applying his previous research to the Polifonia project. He will focus on the INTERLINK pilot and will also be involved in FACETS. He strongly believes that the interdisciplinary nature of the project, hence the unique opportunity to collaborate with experts in the music domain, are the secret ingredients for creating music intelligence systems that everyone can use – from “my father teaching music in middle school, to my super creative bandmates always reworking musical ideas from the past“.

Image credits: Jacopo de Berardinis at his home office.

Recent News

In our newest video Paul Mulholland, leader of WP5 explains how Polifonia intends to let people access or contribute to the music data Polifonia offers, in a way that fits their level of expertise, interest or physical abilities.

In WP5  - Human Interaction with Musical Heritage - the team researches and develops highly interactive…

25 January 2023

Earlier in December, Polifonia’s team from Bologna presented a novel music segmentation method called Pitchclass2vec at the 21st International Conference of the Italian Association for Artificial Intelligence (AIxIA 2022). Master student Nicolas Lazzari was asked to present the experiments that were part of this research.

Earlier in December, Polifonia’s team from Bologna presented a novel music segmentation method called…

21 December 2022

WP4 – Musical Heritage Knowledge Extraction from text- develops methods and tools for several purposes.

WP4 - Musical Heritage Knowledge Extraction from text- develops methods and tools for several purposes.…

13 December 2022

In November Polifonia reached out to a Dutch audience. Polifonia looks back fondly on the progress presented to these Dutch heritage professionals. Find the visual report here.

In November Polifonia reached out to a Dutch audience. Polifonia looks back fondly on the progress presented…

7 December 2022

Polifonia’s team from Bologna is gearing up for 21st International Conference of the Italian Association for Artificial Intelligence (AIxIA 2022), where Nicolas Lazzari, Andrea Poltronieri and Valentina Presutti are presenting a novel music segmentation method called Pitchclass2vec.

Polifonia’s team from Bologna is gearing up for 21st International Conference of the Italian Association…

28 November 2022

Annual Conference focuses on the CLARIAH digital humanities infrastructure and its use by researchers and other professionals from the heritage field. This free program offers lectures, debates, interactive presentations, workshops and poster sessions and dives into topics like AI, social media, linked data & data stories. 

This year's CLARIAH Annual Conference focuses on the CLARIAH digital humanities infrastructure and its…

21 November 2022

From Beethoven to Metallica, from Pinkpop to the Big Sing, from the beginning of the 20th century through to last week.

From Beethoven to Metallica, from Pinkpop to the Big Sing, from the beginning of the 20th century through…

16 November 2022

Relying on the results of WP2 -ontology-based knowledge graphs- the overall goal of WP3 is to devise approaches to analysing large repositories of music (tunes, songs, etc.) to identify common, meaningful patterns that are indicative of their identity, filiation or cultural association (genres, origin, etc). Work package leader James McDermott explains the ‘Mining Musical Patterns’ work of WP3 in our latest video on YouTube. 

Relying on the results of WP2 -ontology-based knowledge graphs- the overall goal of WP3 is to devise…

9 November 2022

As part of the dissemination of the project results, Polifonia’s consortium partners have the ambition to regularly present their work at symposia and academic meetings, thereby informing semantic, AI, data science, linguistic and humanities researchers of their findings with Polifonia data.

As part of the dissemination of the project results, Polifonia's consortium partners have the ambition…

31 October 2022

Work package 2 develops ontology-based knowledge graphs for representing music collections (symbolic notation/scores, code-based musical assets, annotated audio/transcriptions, metadata) and its historical, cultural, and social context. Watch work package leader Albert Meroño Peñuela explain the role of WP2 within Polifonia in our newest YouTube video.

Work package 2 develops ontology-based knowledge graphs for representing music collections (symbolic…

17 October 2022

This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement N. 101004746