Evidence map›Paper›PMID 37672190›Full record

ArticleBehavior research methods2024

Singing Ability Assessment: Development and validation of a singing test based on item response theory and a general open-source software environment for singing data.

Sebastian Silas, Daniel Müllensiefen, Reinhard Kopiez

Abstract readValidation Study
In one paragraph

Article in Behavior research methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Sebastian SilasGoldsmiths University of London, London, UK. sebsilas@gmail.com.
Daniel MüllensiefenGoldsmiths University of London, London, UK.
Reinhard KopiezHanover Music Lab, Hanover University of Music, Drama and Media, Neues Haus 1, 30175, Hannover, Germany.

Funding

Innovate UK 96040
6 · The paper itself

Abstract

We describe the development of the Singing Ability Assessment (SAA) open-source test environment. The SAA captures and scores different aspects of human singing ability and melodic memory in the context of item response theory. Taking perspectives from both melodic recall and singing accuracy literature, we present results from two online experiments (N = 247; N = 910). On-the-fly audio transcription is produced via a probabilistic algorithm and scored via latent variable approaches. Measures of the ability to sing long notes indicate a three-dimensional principal components analysis solution representing pitch accuracy, pitch volatility and changes in pitch stability (proportion variance explained: 35%; 33%; 32%). For melody singing, a mixed-effects model uses features of melodic structure (e.g., tonality, melody length) to predict overall sung melodic recall performance via a composite score [R

Indexed as

MusicSingingSoftwareAdolescentAdultAlgorithmsFemaleHumansMaleMental RecallMiddle AgedYoung AdultMelodic memoryMelodic recallMusic assessmentMusic psychologySimilarity measurementSinging test

Identifiers

PMID37672190
PMCPMC11289018

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.