Hidden Markov model (HMM) is a promising method that works well for images with variations in lighting, facial expression, and orientation. Face recognition draws attention as a complex task due to noticeable changes produced on appearance by illumination, facial expression, size, orientation and other external factors. To process images using HMM, the temporal or space sequences are to be cons...

In speech recognition domain knowledge is usually implemented by training specialized acoustic and language models. This requires large amounts of training data for the domain. When such data is not available there often still exists external knowledge, obtainable through other means, that might be used to constrain the search for likely utterances. This paper presents a number of methods to ex...

Environmental dampness is one factor which can cause human diseases. The effects of exposure to humidity on human immune function are diverse and numerous. In the theory of traditional Chinese medicine (TCM), dampness is defined as one of the major pathogenic factors in the human body. It is divided into "external dampness" and "internal dampness." However the molecular mechanism leading to hum...

Two approaches to detecting and tracking speakers in multispeaker audio are described. Both approaches use an adapted Gaussian mixture model, universal background model (GMM-UBM) speaker detection system as the core speaker recognition engine. In one approach, the individual log-likelihood ratio scores, which are produced on a frame-by-frame basis by the GMM-UBM system, are used to first partit...

This paper is an illustrative approach for developing a visual interface for an intuitive gesture recognition system using finger gestures and color markers. The objective is to develop a system by which one can communicate with any digital device more interactively and make these interactions more intuitive and cost effective at the same time. Although vision interfaces that work with finger g...

many researchers adopt local binary pattern for pattern analysis. however, the long histogram created by local binary pattern is not suitable for large-scale facial database. this paper presents a simple facial pattern descriptor for facial expression recognition. local pattern is computed based on local gradient flow from one side to another side through the center pixel in a 3x3 pixels region...

The paper aims to propose a novel technique that recognizes finger spelled American Sign Language (ASL) gestures. The external characteristic of hand, i.e. shape based algorithm is being used for recognition. Since almost all of the alphabets have a unique shape, each alphabet is characterized on the basis landmark points marked on the boundary of the hand shown by the signer. A training set is...

Transcoding refers to the process of converting HTML files in order to adapt the physical attributes of each device. We call our transcoding “Semantic Transcoding” because it transcodes at the deep semantic level. The proxy server consists of translation, text summarization, video summarization, text-to-speech, speech recognition, and so on. External annotation is also possible. Semantic transc...

This paper demonstrates combinations of various language model (LM) technologies simultaneously, not only modeling techniques but also those for training data expansion based on external language resources and unsupervised adaptation for spontaneous speech recognition. Although forming combinations of various LM technologies has been examined, previous works focused on only modeling techniques....

one of the most hot topic in recent years in management is organizational identity and more important than it, is identity construction which ignored in researches. nowadays in most of the public organizations, the increase of turnover rate, reducing employees` job satisfaction, increasing the amount of job absent, developing job alienation, and lack of accepting responsibility sense and genera...