Literature DB >> 12500861

Expectancy in melody: tests of children and adults.

E Glenn Schellenberg1, Mayumi Adachi, Kelly T Purdy, Margaret C McKinnon.   

Abstract

Melodic expectancies among children and adults were examined. In Experiment 1, adults, 11-year-olds, and 8-year-olds rated how well individual test tones continued fragments of melodies. In Experiment 2, 11-, 8-, and 5-year-olds sang continuations to 2-tone stimuli. Response patterns were analyzed using 2 models of melodic expectancy. Despite having fewer predictor variables, the 2-factor model (E. G. Schellenberg, 1997) equaled or surpassed the implication-realization model (E. Narmour, 1990) in predictive accuracy. Listeners of all ages expected the next tone in a melody to be proximate in pitch to the tone heard most recently. Older listeners also expected reversals of pitch direction, specifically for tones that changed direction after a disruption of proximity and for tones that formed symmetric patterns.

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Mesh:

Year:  2002        PMID: 12500861

Source DB:  PubMed          Journal:  J Exp Psychol Gen        ISSN: 0022-1015


  5 in total

1.  Expectations for melodic contours transcend pitch.

Authors:  Jackson E Graves; Christophe Micheyl; Andrew J Oxenham
Journal:  J Exp Psychol Hum Percept Perform       Date:  2014-11-03       Impact factor: 3.332

2.  Probabilistic models of expectation violation predict psychophysiological emotional responses to live concert music.

Authors:  Hauke Egermann; Marcus T Pearce; Geraint A Wiggins; Stephen McAdams
Journal:  Cogn Affect Behav Neurosci       Date:  2013-09       Impact factor: 3.526

3.  Studying Musical and Linguistic Prediction in Comparable Ways: The Melodic Cloze Probability Method.

Authors:  Allison R Fogel; Jason C Rosenberg; Frank M Lehman; Gina R Kuperberg; Aniruddh D Patel
Journal:  Front Psychol       Date:  2015-11-12

4.  Artificial grammar learning of melody is constrained by melodic inconsistency: Narmour's principles affect melodic learning.

Authors:  Martin Rohrmeier; Ian Cross
Journal:  PLoS One       Date:  2013-07-09       Impact factor: 3.240

5.  Learning unfamiliar pitch intervals: A novel paradigm for demonstrating the learning of statistical associations between musical pitches.

Authors:  Yvonne Leung; Roger Thornton Dean
Journal:  PLoS One       Date:  2018-08-30       Impact factor: 3.240

  5 in total

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