Time series data analysis algorithms have been gaining significant importance in the
research community. Extensive studies have confirmed that Dynamic Time Warping (DTW) …

Dynamic time warping estimates the alignment between two sequences and is designed to
handle a variable amount of time warping. In many contexts, it performs poorly when …

Dynamic Time Warping (DTW) is a dynamic programming algorithm that is known to be one
of the best methods to measure the similarities between two signals, even if there are …

This work implements a prototype of a music practice tool, and evaluates alignment methods
in an audio matching scenario required for it. By two interviews with piano teachers, we …

Dynamic Time Warping (DTW) is an effective method that can be used to analyze community
site visitors. DTW is a set of rules that measures the similarity between temporal sequences …

En los últimos años, la inteligencia artificial ha experimentado un gran avance respecto a su
funcionalidad. En la actualidad, la inteligencia artificial es capaz de procesar el lenguaje …

Abstract El Dinamic Time Warping (DTW) es un algoritmo de programación dinámica, muy
usado en el procesamiento de series temporales. Desafortunadamente tiene complejidad …