Dynamic Time Warping (DTW) for Single Word and Sentence ...
Dynamic Time Warping (DTW) for Single Word and Sentence ...
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 />
Classifier Design in Practice<br />
• Need a priori probability P ( ) i (not too bad)<br />
• Need class conditional PDF p<br />
• Problems:<br />
– limited training data<br />
– limited computation<br />
– class-labeling potentially costly <strong>and</strong> prone to error<br />
– classes may not be known<br />
– good features not known<br />
• Parametric Solution:<br />
– Assume that p (x / )<br />
has a particular parametric <strong>for</strong>m<br />
i<br />
– Most common representative: multivariate normal density<br />
12<br />
(x / i )