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defer.add img); Add photo Double click or drag the photo from the left list box to the frame of template and adjust the size of photo in the frame to the best effect by using the editing toolbar upper of the selected photo.
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The number of GMM clusters l in MLTS was set to 5, corresponding to using five GMMs to label each frame of a template representative.
Except for the baseline and the Mahalanobis distance, each frame of a template or a test speech segment was labeled by 1GMM index.
The remaining Gaussian components are used to construct a new GMM, and the new GMM is used as one of the l GMMs to label the corresponding frame of the template representative.
For each frame of a template representative, instead of selecting only one GMM and excluding the rest of the GMMs for a cluster M i as in MLTS, here we merge the original GMMs in each cluster M i into a new GMM and use the l new GMMs from the l clusters M i, i = 1,…, l to relabel the frame.
We choose the template unit to be context-dependent phone segments (triphone context) and use multiple Gaussian mixture model (GMM) indices to represent each frame of speech templates.
In Figure 7, we show the effects of using different numbers of GMMs (n = 1, n = 3, n = 5, and n = 7) in labeling each frame of the templates.
At each frame, the joint angles of template skeleton are optimized towards the captured Kinect skeleton.
The movement was regulated by a selective interaction between the synthesized nanofiber and the surface of the honeycomb frames of the template.
However, since there were 749 new GMMs for labeling the frames of the template representatives, there was an extra memory overhead of 5.4 MB.
Figure 7 Two examples of template frames from the videos.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com