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Clayton, M, Department of Music, Durham University, Durham, UK
Eerola, T, Department of Music, Durham University, Durham, UK
Jakubowski, K, Department of Music, Durham University, Durham, UK
Tarsitani, S
Study number / PID
852847 (UKDA)
10.5255/UKDA-SN-852847 (DOI)
Data access
Open
Series
Not available
Abstract
This data release relates to the topic of interactions in music performance. The data consists of annotations, movement and audio descriptors, and computational predictions of interactions in jazz duos. The jazz duos are represented by 15 pulsed (standard jazz) improvisations and 15 non-pulsed improvisations (free jazz) examples, which have been documented previously (Moran et al., 2015) and the videos have been released separately. Here we release only the numerical data used in the evaluation of wavelet-based methods to estimate the interactive bouts within the performances. The data release is organized in two experiments, which are documented separately.Group music-making is a distinctive mode of human social interaction: it is a widespread activity that showcases the remarkable capacity for precision and creativity demonstrated in the coordination of rhythmic behaviour between individuals. Such coordination entails interpersonal entrainment, a process whereby two or more individuals interact with each other in a manner supporting the synchronization of body movements and musical sounds. Although musical entrainment is prevalent across the world's cultures, the way in which it is manifested appears to vary as a function of differences in social, ritual and musical conventions. A better understanding of the process of interpersonal entrainment and its cultural variation is therefore imperative. The main objective of this project is to investigate key aspects of interpersonal musical entrainment in a comparative study of a variety of cultural settings; it does so through the establishment of an international and interdisciplinary team, and by creating and analyzing a shared corpus of prepared and annotated performance data.
Understanding musical entrainment requires contributions from several disciplines, in particular ethnomusicology, music cognition and computing. This project combines perspectives from each of these disciplines: it focuses on better...
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
Methodology
Data collection period
01/04/2016 - 31/03/2017
Country
United Kingdom
Time dimension
Not available
Analysis unit
Time unit
Universe
Not available
Sampling procedure
Not available
Kind of data
Numeric
Data collection mode
The dataset contains data from two experiments. In experiment 1, the data collection method consist of (1) human annotations, (2) movement and audio descriptors based on computational feature-extraction techniques, and (3) computational predictions of interactions in jazz duos. The sample consists of jazz duos which are represented by 15 pulsed (standard jazz) improvisation and 15 non-pulsed improvisation (free improvisation) examples, which have been documented previously (Moran et al., 2015, see Related Resources). The sampling procedure is opportunity sampling and based on material already available and the population studied is very specific expert community of musicians, with no intention of generalisation across musical genres or situations. The videos used in the present work have been released separately, see Related Resources. Here we release only the numerical data used in the evaluation of wavelet-based methods to estimate the interactive bouts within the performances. In experiment 2, the data collection method is online rating task of short video clips. The sampling procedure is snowball sampling where the volunteers were invited to participants to the survey via social media. The population was mainly expert musicians and people interested in music.See separate documents for Experiments 1 and 2 explaining the format of the data and the meaning of the variables.
Funding information
Grant number
AH/N00308X/1
Access
Publisher
UK Data Service
Publication year
2017
Terms of data access
The Data Collection is available to any user without the requirement for registration for download/access.