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PDCON:Conference/Dynamic Time Warping for Pure Data (view source)
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== Dynamic time warping for Pure Data == | == Dynamic time warping for Pure Data == | ||
Authors: [[User:PedroLopes|Pedro Lopes]] and Joaquim Jorge | Authors: [[User:PedroLopes|Pedro Lopes]] and Joaquim Jorge | ||
Download full paper [[Media:Dynamic Time Warping for Pure Data.pdf]] | |||
We present an implementation of the Dynamic Time Warping algorithm for the [[Pure Data]] programming environment. This algorithm is fairly popular in several contexts, ranging from speech processing to pattern detection, mainly because it allows to compare and recognize data sets that may vary non-linearly in time. | We present an implementation of the Dynamic Time Warping algorithm for the [[Pure Data]] programming environment. This algorithm is fairly popular in several contexts, ranging from speech processing to pattern detection, mainly because it allows to compare and recognize data sets that may vary non-linearly in time. | ||
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Hopefully with the feedback of the community this external can be released in a nearby future, allowing the DTW algorithm to be easily used from within Pd. | Hopefully with the feedback of the community this external can be released in a nearby future, allowing the DTW algorithm to be easily used from within Pd. | ||
<videoflash type="vimeo">36582311|700|400</videoflash> | |||
Early prototype video | Early prototype video | ||
<videoflash type="vimeo">11792446|500|320</videoflash> | <videoflash type="vimeo">11792446|500|320</videoflash> | ||
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