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Dynamic Time Warping (DTW) for Single Word and Sentence ...

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<strong>DTW</strong> <strong>for</strong> <strong>Single</strong> <strong>Word</strong> <strong>and</strong> <strong>Sentence</strong> Recognizers<br />

Supervised - Unsupervised<br />

• Supervised training:<br />

Class to be recognized is known<br />

<strong>for</strong> each sample in training data.<br />

Requires a priori knowledge of<br />

useful features <strong>and</strong> knowledge<br />

/labeling of each training token<br />

(cost!).<br />

• Unsupervised training:<br />

Class is not known <strong>and</strong> structure<br />

is to be discovered automatically.<br />

Feature-space-reduction<br />

example: clustering, auto-associative nets<br />

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