Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Developing and testing an analysis system to assess singing-pitch accuracy of Chinese children

Bibliographic Data

ID14872107
AuthorsAkipekka Alanko (University of Helsinki), Peixin Nie (0000-0002-7549-3589, University of Helsinki), Cuicui Wang (0000-0002-0540-873X, Hangzhou Normal University), Bin Du (0000-0001-6237-2895, Beijing Normal University), Sha Tao (0000-0002-0928-0681, Beijing Normal University), Mari Tervaniemi (0000-0002-9651-2929, University of Helsinki, corresponding author)
Year2025
Volume54
Issue1
Pages1-13
Publication date2025-10-07
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of New Music Research (JOURNAL)
Journal identifiersISSN: 0929-8215 • E-ISSN: 1744-5027
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/09298215.2025.2561580
OpenAlexW4414917849
LanguageEN
References cited27

While several perceptual procedures exist to assess pitch accuracy of singing, computer-assisted methods are scarce. We developed and tested a method that combines automated frequency analysis with manual note segmentation. PitchAnalyzer2.2 software was used to extract the fundamental frequency and the musical pitches of the audio samples. The onsets, offsets, and steady-state sections of the sung syllables were detected manually to identify the keys or root notes and modulations that were dominant in a sample. Finally, the difference between the singing-sample melody and the target melody was computed to determine the overall scores for each performance. We used samples obtained from Chinese primary school children to test the new method. The samples were collected before and after the children participated in an extracurricular training programme on music versus foreign-language learning. Replicating previous findings, girls outperformed boys in singing accuracy. There were no effects of training programme or age. Testing the new method for analysis of singing-pitch accuracy for a target melody revealed that it is appropriate to generate overall performance scores for samples of children’s singing, particularly when their singing sample contains multiple modulations

Data collection · Statistical analysis · Diverse Music Education Insights · Music and Audio Processing · Neuroscience and Music Perception

  • Cross-Cultural Work in Music Cognition

    Open Access•Nori Jacoby, Elizabeth Hellmuth Margulis et al.•Music Perception An Interdisciplina…•2020

  • Establishing the Reliability and Validity of Web-based Singing Research

    Yi Ting Tan, Isabelle Peretz et al.•Music Perception An Interdisciplina…•2021

  • Does non-native language influence learning a melody? A comparison of native English and native Chinese university students on the Airs Test Battery of Singing Skills

    Open Access•Annabel J Cohen, Bing-Yi Pan et al.•Musicae Scientiae•2015

  • The development of the aesthetic experience of music

    Open Access•Sirke Nieminen, Eva Istók et al.•Musicae Scientiae•2012

  • The Airs Test Battery of Singing Skills

    Open Access•Annabel J Cohen•Musicae Scientiae•2015

  • Pitch-Pattern Accuracy, Tonality, and Vocal Range in Preschool Children's Singing

    Open Access•Patricia J Flowers, Deborah Dunne-Sousa•Journal of Research in Music…•1990

  • Early Childhood Musical Development

    Open Access•Grover Welch, Graham F Welch•Research Studies in Music Education•1998

Citation velocityhistorical
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae