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case_images: Experimental design.. Experimental designs for both Experiment 1 and Experiment 2 are illustrated. Both experiments consisted of four principal blocks presented in counterbalanced order, where stimuli within each block were presented randomly.
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case_images: Based on the experimental design and simulations using the case-report data, Experiment 2 consisted of four blocks of 18 trials each (Fig 2). The four blocks of Experiment 2 were presented in a reverse counterbalanced order for each participant (Fig 2).
case_images: Pitch identification accuracy for specific pitches for oboe tones played during Experiment 1.. Performance is separated for participants demonstrating significant levels of instrument-specific absolute pitch (ISAP) and those not demonstrating this ability. For the purposes of this plot, participants with global AP were excluded from the latter of these groups as their near-perfect accuracy levels inflate the averages for non-ISAP participants. As evident, in most cases, performance was better overall (and more variable) for people with ISAP than people without ISAP, and performance was generally better for pitches coinciding with white than black piano keys, irrespective of ISAP status.
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case_images: Fig 6), we cannot use the equiprobable chance level of 8.33% as a valid null hypothesis here.
case_images: Violin plots of accuracy and precision in terms of mean percentage of correct responses and mean absolute semitone errors, respectively, for each of the 12 participants in Exp. 2.. Only artificial pitch-shifting (not the motor interference task) impaired performance, with a significant effect for accuracy but not for precision. Vertical lines indicate the median of participant-wise means, and the tops and bottoms of the colored areas indicate the upper and lower adjacent values, respectively. Means for individual participants are depicted with white dots connected with dotted lines in dark gray.
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case_images: Using the glmer() function from the lme4 package, we built a logistic mixed effects model predicting pitch identification (correct or incorrect) with fixed binary effects for transposition and motor conditions, plus a random intercept term for participant (Fig 7).