Dynamic Time Warping

Dynamic Time Warping (DTW) is a technique used to measure similarity between two sequences that may vary in speed or timing. For example, it can align two different recordings of the same song played at different tempos, by stretching or compressing parts to find the best match. DTW reduces the differences caused by timing variations, allowing a more meaningful comparison of their patterns. It’s widely used in areas like speech recognition, gesture analysis, and data comparison, helping identify similarities even when signals are out of sync or differently paced.