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matlab-recognition-code.com/speech-recognition-based-on-dtw/
Abstract
Searching for one of the best path that matches two time-collection alerts is the primary activity for a lot of researchers, due to its significance in these purposes. Dynamic Time-Warping (DTW) is likely one of the outstanding methods to perform this activity, particularly in speech recognition methods. DTW is a price minimisation matching method, by which a check sign is stretched or compressed based on a reference template.
Although there are different superior methods in speech recognition such because the hidden Markov modelling (HMM) and synthetic neural community (ANN) methods, the DTW is extensively used within the small-scale embedded-speech recognition techniques resembling these embedded in cell telephones. The purpose for that is owing to the simplicity of the hardware implementation of the DTW engine, which makes it appropriate for a lot of cellular units. Additionally, the coaching process in DTW could be very easy and quick, as in contrast with the HMM and ANN rivals.
Keyword: Matlab, speech recognition, speech verification, speech matching, Dynamic Time-Warping, dtw, options extraction.
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