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After averaging the absolute values of the note errors in each melody (to account for negative and positive errors canceling each other out), the three-way repeated-measures ANOVA [group x time x scale (50 c versus 100 c melodies)] performed on the absolute error measure in mel50 and mel100 tasks revealed only a significant time-by-scale interaction [F 1,17) = 6.85, p<0.05].
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I would like to end on this note: error is human but to forgive is divine".
– UI note "Error in connection" is missing if first VoIP call fails.
The error measure employed is the note error rate (NER) metric.
Figure 10 Note error rates for different polyphony numbers using the proposed PIC detector.
Figure 11 shows the note error rates in different levels of noise for different polyphony numbers using the proposed PIC detector when the polyphony number is estimated.
Figure 8 Comparison of note error rates for different polyphony numbers using the proposed PIC detector and the selected reference method proposed in [4].
A comparison of note error rates for PIC with 3, 5, or 7 stages and using 4 different sets of cancellation parameters are presented in Figure 7.
Figure 7 Comparison of note error rates for different sets of cancellation parameters and different number of parallel interference cancellation stages.
Note error bar for the 3h time-point is largest among all LPS time-points that indicate variations in the 3h data point in replicate experiments.
Note: # Error Covariance between Psycho and Physical latent variables (or correlations of the Residual term of Psycho and Physical latent variables) in the SEM model; * We have ranked large, medium and small effects for 10 effect sizes in both models.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com