A Set of 200 Musical Stimuli Varying in Balance, Contour, Symmetry, and Complexity: Behavioral and Computational Assessments.

MIR aesthetics balance complexity contour music symmetry

Journal

Behavior research methods
ISSN: 1554-3528
Titre abrégé: Behav Res Methods
Pays: United States
ID NLM: 101244316

Informations de publication

Date de publication:
08 2020
Historique:
pubmed: 14 2 2020
medline: 12 1 2021
entrez: 14 2 2020
Statut: ppublish

Résumé

We present a novel set of 200 Western tonal musical stimuli (MUST) to be used in research on perception and appreciation of music. It consists of four subsets of 50 stimuli varying in balance, contour, symmetry, or complexity. All are 4 s long and designed to be musically appealing and experimentally controlled. We assessed them behaviorally and computationally. The behavioral assessment (Study 1) aimed to determine whether musically untrained participants could identify variations in each attribute. Forty-three participants rated the stimuli in each subset on the corresponding attribute. We found that inter-rater reliability was high and that the ratings mirrored the design features well. Participants' ratings also served to create an abridged set of 24 stimuli per subset. The computational assessment (Study 2) required the development of a specific battery of computational measures describing the structural properties of each stimulus. We distilled nonredundant composite measures for each attribute and examined whether they predicted participants' ratings. Our results show that the composite measures indeed predicted participants' ratings. Moreover, the composite complexity measure predicted complexity ratings as well as existing models of musical complexity. We conclude that the four subsets are suitable for use in studies that require presenting participants with short musical motifs varying in balance, contour, symmetry, or complexity, and that the stimuli and the computational measures are valuable resources for research in music psychology, empirical aesthetics, music information retrieval, and musicology. The MUST set and MATLAB toolbox codifying the computational measures are freely available at osf.io/bfxz7.

Identifiants

pubmed: 32052354
doi: 10.3758/s13428-019-01329-8
pii: 10.3758/s13428-019-01329-8
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1491-1509

Subventions

Organisme : "la Caixa" Foundation
ID : LCF/BQ/ES17/11600021
Pays : International
Organisme : Ministerio de Economía y Competitividad
ID : PSI2016- 77327-P
Pays : International

Auteurs

Ana Clemente (A)

Human Evolution and Cognition Research Group, Institute for Cross-Disciplinary Physics and Complex Systems, Associated Unit to CSIC, University of the Balearic Islands, Palma de Mallorca, Spain. ana.c.magan@gmail.com.
Department of Psychology, University of the Balearic Islands, Crta Valldemossa km 7.5, 07122, Palma de Mallorca, Spain. ana.c.magan@gmail.com.

Manel Vila-Vidal (M)

Center for Brain and Cognition, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain.

Marcus T Pearce (MT)

School of Electronic Engineering & Computer Science, Queen Mary University of London, London, UK.
Centre for Music in the Brain, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.

Germán Aguiló (G)

IES Felanitx, Felanitx, Spain.

Guido Corradi (G)

Human Evolution and Cognition Research Group, Institute for Cross-Disciplinary Physics and Complex Systems, Associated Unit to CSIC, University of the Balearic Islands, Palma de Mallorca, Spain.
Department of Psychology, Faculty of Education and Health, University Camilo José Cela, Madrid, Spain.

Marcos Nadal (M)

Human Evolution and Cognition Research Group, Institute for Cross-Disciplinary Physics and Complex Systems, Associated Unit to CSIC, University of the Balearic Islands, Palma de Mallorca, Spain.
Department of Psychology, University of the Balearic Islands, Crta Valldemossa km 7.5, 07122, Palma de Mallorca, Spain.

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