Multivariate time series (MTS) data are widely used in a very broad range of fields, including medicine, finance, multimedia and engineering. In this paper a new approach for MTS classification, using a parametric derivative dynamic time warping distance, is proposed. Our approach combines two distances: the DTW distance between MTS and the DTW distance between derivatives of MTS. The new dista...

In text-dependent speaker verification the speech signals have to be time-aligned. For that purpose dynamic time warping (DTW) can be used which performs the alignment by minimizing the Euclidean cepstral distance between the test and the reference utterance. While the cumulative Euclidean cepstral distance, which can be gathered from the DTW algorithm, could be used directly to discriminate be...

Let C be a class of graphs and π be a graph parameter. Let Φ be a formula in the first-order language containing only the adjacency and the equality relations. We say that Φ defines C on connected graphs with sufficiently large π if there is a constant k such that, for every connected graph G with π(G) ≥ k, Φ is true on G exactly when G belongs to C. For a fixed connected graph F , let S(F ) de...

Speech is an integral part of communication. Speech disorder is a problem with fluency, voice, and or how a person produces a speech sound. The main focus of this study is to identify the difference between normal and disordered speech. The proposed work classifies the normal and abnormal speech. The experimental investigation elucidated MFCC and DTW with the accuracy rate of 88 % and 75% respe...

In this work, we present an alignment-based method to perform sign segmentation and to extract isolated signs from continuous sign language videos. Sign videos contain many modalities, the most prominent of which are hand gestures, manifested as hand motion and shape, which are represented by a variety of extracted features in this work. We compare two different alignment approaches, Dynamic Ti...

In this paper, we present a method for pattern such as graphical symbol and shape recognition and retrieval. It is basically based on dynamic programming for matching the Radon features. The key characteristic of the method is to use DTW algorithm to match corresponding pairs of histograms at every projecting angle. This allows to exploit the Radon property to include both boundary as internal ...