We describe preliminary work towards an objective method for identifying visemes. Active appearance model (AAM) features are used to parameterise a speaker’s lips and jaw during speech. The temporal behaviour of AAM features between automatically identified salient points is used to represent visual speech gestures, and visemes are created by clustering these gestures using dynamic time warping...

Flexible DC power distribution systems have characteristics such as rapid fault occurrence and fragile electronics. faults usually result in converter blocking (2–5 ms). However, existing protection schemes are susceptible to distributed capacitance, cannot tolerate long communication delays, require artificial boundaries, among other features that make it impossible combine speediness, selecti...

-This paper proposes a multi-classified and self-directed learning method used for sign language recognition, which adopts statistical template matching methods to recognize sign language. As sign language expressions consist of many frames, SIFT algorithm is used to position key frames and eigenvectors of sign language vocabulary. According to these key frames, the hierarchical discriminate re...

In speech recognition, the training process plays an important role. When a good training model for a speech pattern is obtained, this not only enhances the speed of recognition tremendously .but also improves the quality of the overall performance in recognizing the speech utterance. In general, there are two classic approaches for this development, namely Dynamic Time Warping (DTW) and Hidden...

Dynamic Time Warping (DTW) can be used to minimize distance between two sequences which display the same trends but are not perfectly aligned with each other. This feature makes DTW an effective pattern classification method for sequence matching. In Ref. [1], a fault diagnosis method using pattern classification based on adaptive rank-order morphological transform has been proposed. It uses Eu...

With the studies of effective representation of music signals and music scores, i.e. chroma and octave features, this work conducts score following and score retrieval. To complement the shortage of chromagram representation, energy distributions in different octaves are used to describe tone height information. By transforming music signals and scores into sequences of feature vectors, score f...

Dr. A. Shanmugam Principal, Bannari Amman Institute of Technology, Sathyamangalam – 638401 Email: [email protected] ------------------------------------------ABSTRACT------------------------------------------------------------------The World Wide Web is a vast network of documents that are linked together a set of protocols defining how the system work and transfer data. The explosion of...

Dynamic time warping (DTW) is a popular distance measure for series analysis and has been applied in many research domains. This paper proposes the R package IncDTW incremental calculation of DTW, based on this principle also helps to classify or cluster series, perform subsequence matching k-nearest neighbor search. DTW can dissimilarity between two temporal sequences which may vary speed, wit...

In this paper a kernel for time-series data is presented. The main idea of the kernel is that it is designed to recognize as similar time series that may be slightly shifted with one another. Namely, it tries to focus on the shape of the time-series and ignores the fact that the series may not be perfectly aligned. The proposed kernel has been validated on several datasets based on the UCR time...