represent it. FDA on just these stimuli showed that the first two PCA components for this subset are very much like those in Figure 5 and account for similar variance (74.4%), confirming that the EGG pulse shapes for tense vs. lax phonation are consistent; correlation analyses between the factors and the principle component scores again show that PC1 is dominated by phonation, while PC2 is related to gender, PC3 has both phonation and gender effects, and PC4 is mostly related to tone, and to f0. Vowel quality does not affect glottal pulse shapes. Correlation coefficients between principle component scores and EGG parameters show that, just as was found for the full dataset (results for the full dataset are seen in Table III), the phonation-related pulse shape components (PC1 and PC3) are best correlated with the CQ measure. SQ and closing duration are also very important EGG parameters that can capture aspects of the phonation-related pulse shapes. F0 shows a strong correlation (r=-0.6) with opening duration. C. Production-perception relations Given these analyses of the EGG signals of the 48 test stimuli, we can now calculate the correlations of the mean perceptual accuracy scores from Kuang (2011) with the different characterizations of the EGG pulses, and with the acoustic measures. Considering the FDA analysis, significant correlations with perception accuracy are found only for PC1 (r=0.49, p<0.001) and, more weakly, for PC3 (r=0.13, p<.05). Specifically, as listeners had to attend to the phonation contrast in order to classify the stimuli, the identification accuracy rates are only highly correlated to PC1, while PC2, a shape component related to gender, is successfully factored out by listeners. Although
represent it. FDA on just these stimuli showed that the first two PCA components for this subset are very much like those in Figure 5 and account for similar variance (74.4%), confirming that the EGG pulse shapes for tense vs. lax phonation are consistent; correlation analyses between the factors and the principle component scores again show that PC1 is dominated by phonation, while PC2 is related to gender, PC3 has both phonation and gender effects, and PC4 is mostly related to tone, and to f0. Vowel quality does not affect glottal pulse shapes. Correlation coefficients between principle component scores and EGG parameters show that, just as was found for the full dataset (results for the full dataset are seen in Table III), the phonation-related pulse shape components (PC1 and PC3) are best correlated with the CQ measure. SQ and closing duration are also very important EGG parameters that can capture aspects of the phonation-related pulse shapes. F0 shows a strong correlation (r=-0.6) with opening duration. C. Production-perception relations Given these analyses of the EGG signals of the 48 test stimuli, we can now calculate the correlations of the mean perceptual accuracy scores from Kuang (2011) with the different characterizations of the EGG pulses, and with the acoustic measures. Considering the FDA analysis, significant correlations with perception accuracy are found only for PC1 (r=0.49, p<0.001) and, more weakly, for PC3 (r=0.13, p<.05). Specifically, as listeners had to attend to the phonation contrast in order to classify the stimuli, the identification accuracy rates are only highly correlated to PC1, while PC2, a shape component related to gender, is successfully factored out by listeners. Although