DaCaRyH (Data science for the study of calypso-rhythm through history)

Lead Research Organisation: Queen Mary, University of London
Department Name: Sch of Electronic Eng & Computer Science


DaCaRyH (Data science for the study of calypso-rhythm through history) is a collaboration of ethnomusicologists and archivists in France, and data scientists and composers in the UK. DaCaRyH has 3 objectives: 1) to enrich the domain of ethnomusicology by integrating data science and music information retrieval (MIR) methods into ethnomusicological archives and research practices; 2) to enrich the domains of data science and MIR by integrating ethnomusicological use cases into the practice of the research and development of intelligent systems; 3) to study the concept of musical style through a comparative diachronic analysis of a music corpus, and to transform the features extracted from the same corpus into new styles. DaCaRyH is aligned primarily with "'The Digital Age' and its effects on tangible and intangible heritage", and secondarily with "representations and uses of the past." DaCaRyH will work specifically with the music tradition of the steel band calypso. This provides focus on a variety of real and challenging ethnomusicological questions, which in turn drive the development of data science and MIR technologies. DaCaRyH helps pave the way to "big cultural data," or the analysis of human culture at scales not possible without computational methods. DaCaRyH involves the Research Center for Ethnomusicology (CREM-LESC, France), and the Centre for Digital Music (C4DM, Queen Mary University of London, UK). CREM-LESC offers access to a large ethnomusicologic recordings database accessible worldwide through an online platform. C4DM is a world-leading group of specialists in data science applied to music. DaCaRyH will result in: two journal submissions (one in the respective fields of the PIs), a call for a special journal issue concerning cultural studies and data science, a music composition and performance project involving the use of the tools developed in DaCaRyH, and improved functionality integrated with the CREM-LESC ethnomusicological recordings archive.


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