Video: an introduction to Work Package 3 ‘Mining Musical Patterns’

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. 

9 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. 

About Music Information Retrieval

Pattern extraction is part of the interdisciplinary science of Music information retrieval (MIR). MIR was born from computational musicology in the 1960s. MIR combines machine learning with expert human knowledge to use digital music data – images of music scores, “symbolic” data such as MIDI files, audio, and metadata about musical items – for information retrieval, classification and estimation, pattern finding or sequence labeling. Major industry players such as Soundcloud, Spotify and Deezer heavily rely on MIR technology, to support their genre-classification or recommender systems. Musicologists use MIR, for instance pattern recognition, to test theories on ‘cultural cross-pollination’.  

Recent News

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

Are you in the Netherlands in November? Then join the free celebration of Podiumkunst.net’s two-year anniversary and catch Polifonia’s Valentina Presutti during her keynote speech!

Are you in the Netherlands in November? Then join the free celebration of Podiumkunst.net’s two-year…

14 October 2022

Researchers’ Night 2022, or in the Italian city of Bologna better known as Notte dei Ricercatori 2022!

One week ago the Polifonia team presented project highlights and data stories during the Researchers’…

7 October 2022

Pushkar Jajoria is a new member of the Polifonia project from September 2022.

Pushkar Jajoria is a new member of the Polifonia project from September 2022. Pushkar is a recent graduate…

26 September 2022

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