Tag: Polifonia

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

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