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Our system approximates a feature frame as just one sum of exemplars.
If an exemplar of a 'wrong' state happens to match best with the feature frame, the Lasso procedure may fill the gap between that exemplar and the feature frame with completely unrelated exemplars.
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He has accomplished this with that all-important feature: framing.
HMM/DNN (hybrid) — Nine consecutive speech feature frames serve as input for the DNN.
In general, n < < d, and hence storing the template frames in GMM indices requires a much smaller space than storing the feature frames for the Templates.
It can be seen that the Pearson correlation coefficient between adjacent feature frames is very high, which is what one would expect, given the high sampling rate.
Apparently, the transform learned on the basis of 17.148 exemplars does not generalize sufficiently to the bulk of the feature frames.
For the DNNs, the input layer size is extended to 702 nodes due to the doubled size of the speech feature frames and the nine-frame temporal context used.
The walls in this dining room feature framed recipes from the homeowner's grandmother, hung alongside treasured family heirloom serving dishes and other favorite pieces.
An amiable man with handsome, patrician features, Frame could have passed for a San Marino attorney previewing the show, or perhaps an Occidental professor there for the white wine.
But in California and much of the West, the natural features frame the displays — the creeks, the peaks, the valleys and sometimes the wildlife.
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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