The Interpersonal Entrainment in Music Performance Data Collection

Authors

  • Martin Clayton Durham University
  • Simone Tarsitani Durham University
  • Richard Jankowsky Tufts University
  • Luis Jure Universidad de la Rep
  • Laura Leante Durham University
  • Rainer Polak Max Planck Institute for Empirical Aesthetics
  • Adrian Poole Private Scholar
  • Mart Rocamora Universidad de la Rep
  • Paolo Alborno University of Genoa
  • Antonio Camurri University of Genoa
  • Tuomas Eerola Durham University
  • Nori Jacoby Max Planck Institute for Empirical Aesthetics
  • Kelly Jakubowski Durham University

DOI:

https://doi.org/10.18061/emr.v16i1.7555

Keywords:

ethnomusicology, music cognition, computational musicology, entrainment, synchronization, music performance, Open Science, FAIR principle

Abstract

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.

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Published

2021-12-10

How to Cite

Clayton, M., Tarsitani, S., Jankowsky, R., Jure, L., Leante, L., Polak, R., … Jakubowski, K. (2021). The Interpersonal Entrainment in Music Performance Data Collection. Empirical Musicology Review, 16(1), 65–84. https://doi.org/10.18061/emr.v16i1.7555