The purpose of this study was to analyze a large sample of volunteers from the general population who were tested with an identical online measure of singing accuracy. A sample of 632 participants completed the Seattle Singing Accuracy Protocol (SSAP), a standardized measure of singing accuracy, available online, that includes a test of pitch discrimination and basic demographic questions. Analyses addressed basic questions relating to the distribution of singing accuracy as well as associations of singing accuracy with years of musical training, age, pitch discrimination ability, and musical self-perception. We addressed these issues with respect to the accuracy of pitch imitation, based on automated scoring of vocal fundamental frequency (f0) in the SSAP, as well as the accuracy of singing a familiar song, based on expert ratings. Results suggest that the distribution of singing accuracy varies widely, but the modal tendency is toward accurate singing. All predictors formed unique and significant associations with singing accuracy, suggesting that multiple factors contribute to this critical musical ability. In particular, age and musical training (including instrumental training) correlate independently with singing accuracy.
BerkowskaM.Dalla BellaS. (2013). Uncovering phenotypes of poor-pitch singing: The Sung Performance Battery (SPB). Frontiers in Psychology, 4, Article 714. https://doi.org/10.3389/fpsyg.2013.00714
2.
CohenJ.CohenP. (1983). Applied multiple regression/correlation analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum.
3.
CooperN. A. (1995). Children’s singing accuracy as a function of grade level, gender, and individual versus unison singing. Journal of Research in Music Education, 43, 222–231. https://doi.org/10.2307/3345637
4.
Dalla BellaS.BerkowskaM. (2009). Singing proficiency in the majority: Normality and “phenotypes” of poor singing. Annals of the New York Academy of Sciences, 1169, 99–107. https://doi.org/10.1111/j.1749-6632.2009.04558.x
5.
Dalla BellaS.GiguèreJ-F.PeretzI. (2007). Singing proficiency in the general population. Journal of the Acoustical Society of America, 121, 1182–1189.
6.
de CheveignéA.KawaharaH. (2002). YIN, a fundamental frequency estimator for speech and music. Journal of the Acoustical Society of America, 111, 1917–1931.
7.
DemorestS. M. (2001). Pitch matching performance of junior high boys: A comparison of perception and production. Bulletin of the Council for Research in Music Education, 151, 63–70.
8.
DemorestS. M.ClementsA. (2007). Factors influencing the pitch matching of junior high boys. Journal of Research in Music Education, 55, 190–203. https://doi.org/10.1177/002242940705500302
9.
DemorestS. M.KelleyJ.PfordresherP. Q. (2017). Singing ability, musical self-concept, and future music participation, Journal of Research in Music Education. 64, 405–420. https://doi.org/10.1177/0022429416680096
10.
DemorestS. D.NicholsB. E.PfordresherP. Q. (2018). The effect of focused instruction on young children’s singing accuracy. Psychology of Music, 46, 488–499. https://doi.org/10.1177/0305735617713120
DemorestS. M.PfordresherP. Q. (2015b). Singing accuracy development from K–adult: A comparative study. Music Perception, 32, 293–302. https://doi.org/10.1525/mp.2015.32.3.293
13.
DemorestS. M.PfordresherP. Q.Dalla BellaS.HutchinsS.LouiP.RutkowskiJ.WelchG. F. (2015). Methodological perspectives on singing accuracy: An introduction to the special issue on singing accuracy (Part 2). Music Perception, 32, 266–271. https://doi.org/10.1525/MP.2015.32.3.266
14.
HutchinsS. M.PeretzI. (2012). A frog in your throat or in your ear? Searching for the causes of poor singing. Journal of Experimental Psychology: General, 141, 76–97. https://doi.org/10.1037/a0025064
15.
HydeK. L.PeretzI. (2004). Brains that are out of tune but in time. Psychological Science, 15, 356–360.
16.
FergusonC. J. (2009). An effect size primer: A guide for clinicians and researchers. Professional Psychology: Research and Practice, 40, 532–538.
17.
GreenG. A. (1990). The effect of vocal modeling on pitch-matching accuracy of elementary schoolchildren. Journal of Research in Music Education, 38, 225–231. https://doi.org/10.2307/3345186
18.
GreensponE. B.PfordresherP. Q. (2019). Pitch specific contributions of auditory imagery and auditory memory in vocal pitch imitation. Attention, Perception & Psychophysics, 81, 2473–2481. https://doi.org/10.3758/s13414-019-01799-0
19.
GreensponE. B.PfordresherP. Q.HalpernA. R. (2017). Pitch imitation ability in mental transformations of melodies. Music Perception, 35, 585–604. https://doi.org/10.1525/mp.2017.34.5.585
20.
LouiP.DemorestS. M.PfordresherP. Q.IyerJ. (2015). Neurological and developmental approaches to poor pitch perception and production. Annals of the New York Academy of Sciences, 1337, 263–271. https://doi.org/10.1111/nyas.12623
21.
LouiP.GuentherF. H.MathysC.SchlaugG. (2008). Action-perception mismatch in tone-deafness. Current Biology, 18, R331–R332.
22.
MosingM. A.MadisonG.PedersenN. L.Kuja-HalkolaR.UllénF. (2014). Practice does not make perfect: No causal effect of music practice on music ability. Psychological Science, 25, 1795–1803. https://doi.org/10.1177/0956797614541990
PetzoldR. G. (1963). The development of auditory perception of musical sounds by children in the first six grades. Journal of Research in Music Education, 11, 21–43. https://doi.org/10.2307/3344529
PfordresherP. Q.BrownS.MeierK.BelykM.LiottiM. (2010). Imprecise singing is widespread. Journal of the Acoustical Society of America, 128, 2182–2190.
27.
PfordresherP. Q.DemorestS. M. (2020). Construction and validation of the Seattle Singing Accuracy Protocol (SSAP): An automated online measure of singing accuracy. In RussoF. A.IlariB.CohenA. J. (Eds.), Routledge Companion to Interdisciplinary Studies in Singing, Volume 1: Development (pp. 322–333). Routledge.
28.
PfordresherP. Q.DemorestS. M.Dalla BellaS.HutchinsS.LouiP.RutkowskiJ.WelchG. F. (2015). Theoretical perspectives on singing accuracy: An introduction to the special issue on singing accuracy (Part 1). Music Perception, 32, 227–231. https://doi.org/10.1525/MP.2015.32.3.227
29.
PfordresherP. Q.HalpernA. R. (2013). Auditory imagery and the poor-pitch singer. Psychonomic Bulletin & Review, 20, 747–753. https://doi.org/10.3758/s13423-013-0401-8
30.
PfordresherP. Q.Larrouy-MaestriP. (2015). On drawing a line through the spectrogram: How do we understand deficits of vocal pitch imitation?Frontiers in Human Neuroscience, 9, Article 271. https://doi.org/10.3389/fnhum.2015.00271
31.
PfordresherP. Q.MantellJ. T. (2014). Singing with yourself: Evidence for an inverse modeling account of poor-pitch singing. Cognitive Psychology, 70, 31–57. https://doi.org/10.1016/j.cogpsych.2013.12.005
SlobodaJ. A.WiseK. J.PeretzI. (2005). Quantifying tone deafness in the general population. Annals of the New York Academy of Sciences, 1060, 255–261. https://doi.org/10.1196/annals.1360.018
34.
SvecC. L. (2018). The effects of instruction on the singing ability of children ages 5 to 11: A meta-analysis. Psychology of Music, 46, 326–339. https://doi.org/10.1177/0305735617709920
35.
TanY. T. (2016). The genetic basis of singing ability: A twin study [Unpublished doctoral dissertation]. University of Melbourne.
36.
WelchG. F. (2006). Singing and vocal development. In McPhersonG. (Ed.), The child as musician (pp. 311–329). Oxford University Press.
37.
WelchG. F.SergeantD. C.WhiteP. J. (1997). Age, sex, and vocal task as factors in singing “in tune” during the first years of schooling. Bulletin of the Council for Research in Music Education, 133, 153–160.
38.
WiseK. J.SlobodaJ. A. (2008). Establishing an empirical profile of self-defined “tone deafness”: Perception, singing performance and self-assessment. Musicae Scientiae, 12, 3–26. https://doi.org/10.1177/102986490801200102
39.
YarbroughC.GreenG.BensonW.BowersJ. (1991). Inaccurate singers: An exploratory study of variables affecting pitch matching. Bulletin of the Council for Research in Music Education, 107, 23–34.
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