Hooked on Music: Algorithmically Predicting Catchy Music @ SXSW

Wednesday March 15th, the focus of the New Dutch Wave Hous is on Entertainment. Maarten Brinkering is one of the speakers in the morning session about music. He will present the COGITCH project that predicts the catchyness of music.

Within the COGITCH project the Netherlands Institute for Sound and Vision, University of Amsterdam, Utrecht University, and Meertens Institute worked on the computational analysis of music. The name refers to the ‘cognitive itch’ that is caused by ‘earworms’: fragments of music that you cannot get out of your head, no matter how hard you try! Musical salience and memorability of musical fragments play an important role in COGITCH.

Through a ‘citizen science’ approach, Dr John Ashley Burgoyne, and his team used the first results to identify the Spice Girls' 'Wannabe' as one of the most memorable songs of all time and highlighted the exceptional importance of melody in forming musical memories.

During this talk Maarten will present an analysis of the Dutch representation in the SXSW Music programme, predicting the ‘catchyness’ of songs in the repertoire of the respective artists. This prediction is the result of applying the content analysis algoritm that resulted from the COGITCH project.

Join us for this session about music, data and experience and learn more about the catchyness of Dutch songs at SXSW.

Speaker info

As a Public Participation and Innovative Access Expert in the Knowledge and Innovation department, Maarten Brinkerink coordinates the institute’s input in (inter)national research projects. He contributes to the strategic policy of Sound and Vision and strengthens the broader heritage sector from Sound and Vision in initiatives such as Open Cultuur Data and the Netwerk Digitaal Erfgoed.

Maarten Brinkerink (1983) graduated in 2007 from the master New Media and Digital Culture at the University of Utrecht. Six months later he started as the project lead of the Open Images project at the R&D department of Sound and Vision. In the beginning, his focus was on open access as a distribution model for digital heritage. Over the years, the area of expertise of Maarten has expanded with knowledge on copyright, crowdsourcing and reuse of digital heritage. He gained extensive experience in access projects for the mass digitization project Images for the Future and in international research projects.

Session: Music = data & experience
Location: Barbarella plenary room
Date: Wednesday March 15th
Time: 10-12pm

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