Editing Speech processing (section)

=== Dynamic time warping ===
{{Main|Dynamic time warping}}Dynamic time warping (DTW) is an [[algorithm]] for measuring similarity between two [[Time series|temporal sequences]], which may vary in speed. In general, DTW is a method that calculates an [[Optimal matching|optimal match]] between two given sequences (e.g. time series) with certain restriction and rules. The optimal match is denoted by the match that satisfies all the restrictions and the rules and that has the minimal cost, where the cost is computed as the sum of absolute differences, for each matched pair of indices, between their values.{{citation needed|date=December 2018}}