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.
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
Peter van Kranenburg (Meertens Institute, KNAW), pilot leader of ORGANS and TUNES, is part of the upcoming AVA_Net webinar on connecting music collections.
Peter van Kranenburg (Meertens Institute, KNAW), pilot leader of ORGANS and TUNES, is part of the upcoming…
The latest Polifonia tool opens doors of multilingual textual musical heritage resources. Find out what you can do with this tool and how it was developed.
Università di Bologna (UniBo) launches the long–awaited web application Polifonia Corpus, as part…
Polifonia’s project leader Valentina Presutti (University of Bologna) is one of the 4 keynote speakers at the upcoming edition of ICAART 2023.
Polifonia’s project leader Valentina Presutti (University of Bologna) is one of the 4 keynote speakers…
Applications are now open for participation in The International Semantic Web Research Summer School (ISWS 2023) in Bertinoro (Italy), from June 11th to June 17th, 2023. Sign up quickly as there are only 60 spots and the closing date of March 30th 2023 is approaching!
Applications are now open for participation in The International Semantic Web Research Summer School…
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…
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…
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.…
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…
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…
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…
This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement N. 101004746