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

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DTW for Single Word and Sentence Recognizers Problems of Classifier Design • Features: – What and how many features should be selected? – Any features? – The more the better? – If additional features not useful (same mean and covariance), classifier will automatically ignore them? 18
DTW for Single Word and Sentence Recognizers Curse of Dimensionality • Adding more features – Adding independent features may help – BUT: adding indiscriminant features may lead to worse performance! • Reason: – Training Data vs. Number of Parameters – Limited training data. • Solution: – select features carefully – reduce dimensionality – Principle Component Analysis 19
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Dynamic Time Warping (DTW) for Single Word and Sentence ...

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