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

DaCaRyH (Data science for the study of calypso-rhythm through history)
Quadrophonic, dr02, Birdsong - © Aurélie Helmlinger

Franco-British project in partnership with the Care for the Future program (Arts & Humanities Research Council - United Kingdom)

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.

Responsables du projet

Aurélie HELMLINGER , Ethnomusicologist , Laboratoire d'Ethnologie et de Sociologie Comparative, UMR 7186 - CREM

Bob STURM , Lecturer in Digital Media , Queen Mary University of London

Autres partenaires associés

Queen Mary University of London
http://www.qmul.ac.uk/

Parisson
http://www.parisson.com/

Durée du projet

18 mois
TOUT A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
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Aurélie HELMLINGER


Titre:  Researcher, CNRS
Fonction:  Ethnomusicologist
Institution:  Laboratoire d'Ethnologie et de Sociologie Comparative, UMR 7186 - CREM


Co-responsable du projet:  DaCaRyH (Étude analytique du rythme calypso à travers l'histoire)


Email:  aurelie.helmlinger@cnrs.fr
Page Perso:  Aurélie Helmlinger's webpage on the Crem website (http://crem-cnrs.fr/index.php)


Bio

Aurélie Helmlinger is an ethnomusicologist specialist of Trinidad and Tobago steelpan. Also musician, her participative approach to steelband performance led her to combine an anthropological and cognitive approach.


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