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neurons is ten. The minimum number of the hidden neurons is four. A typical
estimation result is shown in Figure 5.8. The horizontal axes in the figure
represent time. The vertical axes represent the magnitude of the MUPs. The
solid trajectory is the original MUPs‚ and the dashed trajectory is the estimation
results.
Figure 5.8. ComparetheestimatedMUPswith the original MUPs. The content of the corre-
sponding speech track is “A bird flew on lighthearted wing.”
We reconstruct the facial deformation using the estimated MUPs and MUs.
For both the ground truth and the estimated results‚ we divide the deforma-
tion of each facial feature point by its maximum absolute displacement in the
ground truth data so that the magnitude of deformation is normalized to [-1.0‚
1.0]. To evaluate the performance‚ we calculate the Pearson product-moment
correlation coefficients (R) and the mean square error (MSE) using the normal-
ized deformations. The Pearson product-moment correlation
measures how good the global match is between the shapes of two signal se-
quences. The larger the Pearson correlation coefficient‚ the better the estimated
signal sequence matches with the original signal sequence.
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