Open AccessThe Interpersonal Entrainment in Music Performance Data Collection
Author(s) -
Martin Clayton,
Simone Tarsitani,
Richard C. Jankowsky,
Luis Jure,
Laura Leante,
Rainer Polak,
Adrian Poole,
Martín Rocamora,
Paolo Alborno,
Antonio Camurri,
Tuomas Eerola,
Nori Jacoby,
Kelly Jakubowski
Publication year - 2021
Publication title -
empirical musicology review
Language(s) - English
Resource type - Journals
ISSN - 1559-5749
DOI - 10.18061/emr.v16i1.7555
Subject(s) - computer science , data collection , entrainment (biomusicology) , interpersonal communication , annotation , visualization , relation (database) , string (physics) , information retrieval , artificial intelligence , data mining , psychology , communication , art , rhythm , mathematics , statistics , mathematical physics , aesthetics
The Interpersonal Entrainment in Music Performance Data Collection (IEMPDC) comprises six related corpora of music research materials: Cuban Son & Salsa (CSS), European String Quartet (ESQ), Malian Jembe (MJ), North Indian Raga (NIR), Tunisian Stambeli (TS), and Uruguayan Candombe (UC). The core data for each corpus comprises media files and computationally extracted event onset timing data. Annotation of metrical structure and code used in the preparation of the collection is also shared. The collection is unprecedented in size and level of detail and represents a significant new resource for empirical and computational research in music. In this article we introduce the main features of the data collection and the methods used in its preparation. Details of technical validation procedures and notes on data visualization are available as Appendices. We also contextualize the collection in relation to developments in Open Science and Open Data, discussing important distinctions between the two related concepts.