This paper proposed a pattern matching algorithm based on estimation of mutual information for speech recognition. The preliminary experiments on connected Chinese digits recognition show 97% of test digits were recognized correctly with 4 times much less time consume than DTW or HMM, and it was 6% higher than which gotten by conventional DTW with same experiments data and condition. According ...

Speaker verification is among the widely used biometrics which usually offer more secure authentication for user access than regular passwords. In this final project, we study the DTW-based and HMM-based speaker verification algorithms and a comparison between them is made based on their performances on our recorded dataset. The two feature sets commonly used in Speech Recognition Systems, LPC ...

The primary system we submitted was composed of 11 subsystems as the required run. 3 subsystems are based on Acoustic Keyword Spotting (AKWS) and 8 on Dynamic Time Warping (DTW). The AKWS systems were based only on phoneme posteriors while the DTW subsystems were based on both phoneme posteriors and Bottle-Neck features (BN) as input. The underlying phoneme posterior estimators / bottle-neck fe...

Introduction. When dealing with time series, the application of a smoothing filter (to get rid of random fluctuations and better recognise the relevant structure) is usually one of the first steps. In the literature on time series similarity measures, however, the impact of smoothing is not explicitly or systematically considered – despite extensive experiments in, e.g., [2]. Instead, complex s...

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 ...