IEMP Technical Resources

Eerola, Tuomas; Clayton, Martin; Alborno, Paolo; Camurri, Antonio; Jacoby, Nori; Jakubowski, Kelly; Tarsitani, Simone

doi:10.17605/osf.io/nvr73

Cited by 1 publication

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“…The following corpora make up the IEMP Data Collection: • Malian Jembe (MJ, curated by Polak et al 2018;London et al 2017, Neuhoff et al 2017, Polak 2017, Polak 2020, Polak & London 2014, Polak et al 2016 • North Indian Raga (NIR, curated by Clayton and Leante; Clayton et al 2018; • Tunisian Stambeli (TS, curated by Jankowsky; Jankowsky et al 2019;Jankowsky 2010Jankowsky , 2013 • Uruguayan Candombe (UC, curated by Jure et al 2019;Fuentes et al 2019, Jure & Rocamora 2018, Rocamora et al 2015 • Technical Resources (Eerola et al 2019) Other suitable sets of recordings were also identified and may form part of future expansions of this collection. Reference is also made to the "Improvising Duos" corpus (curated by , Moran et al 2017 which is analyzed for IEMP papers Eerola et al 2018).…”

Section: The Iemp Data Collectionmentioning

confidence: 99%

“…The total number of removed onsets constituted less than 3% of the entire database. The Matlab script used for this process is shared with IEMPDC (see Onset assignment (Matlab) in Eerola et al 2019).…”

Section: Onset Assignment and Manual Checking (Onsets_selected)mentioning

confidence: 99%

“…ROIs were manually selected around body parts of interest, typically heads and upper torsos (CSS also includes some data for feet). ROI data and the output for each ROI used (the barycenter coordinates) is shared as part of the collection, as is the OF patch for the freelyshared EyesWeb program (Windows; see Eerola et al, 2019).…”

Section: Movement Extractionmentioning

confidence: 99%

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The Interpersonal Entrainment in Music Performance Data Collection

Clayton

Tarsitani

Jankowsky

et al. 2021

EMR

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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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