Marimuthu Krishnaveni

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Research in Automatic Speech Recognition (ASR) has attracted a great deal of attention over the past five decades. It aims to provide an efficient way for human to communicate with computers. With the extensive development of these systems permits the user to talk almost naturally with computers. Hence, today's researchers are mainly focusing on developing(More)
Synthetic Aperture Radar (SAR) techniques represent a promising alternative compared to traditional surveillance methods. The capabilities of satellite based SAR systems are confirmed and specific data exploitation methods are still to be developed to provide an efficient automatic interpretation of SAR data. The mean of this paper is to analyze and compare(More)
Speech recognition has been an active research topic for more than 50 years. Interacting with the computer through speech is one of the active scientific research fields particularly for the disable community who face variety of difficulties to use the computer. Such research in Automatic Speech Recognition (ASR) is investigated for different languages(More)
In the emerging trend of speech technologies, speech/non-speech detection is an unsolved problem, which affects numerous speech related applications. Especially in robust speech recognition, there is always a need for a noise reduction scheme working in combination with a precise Voice Activity Detector (VAD). The approach in this paper is based on(More)
Segmentation of target is an important step in forming realistic target models. To assist in classifying the relevant literature, two types of segmentation are identified where each type adds its own additional level of uniqueness. The first type is composed of the simplest forms of image analysis through thresholding, the second is characterized by region(More)
An exceptional effort has been extended in making a computer recognize both typed and handwritten characters automatically. Quite recent still today, the characters of English Language is been the main explore area for our researchers. Tamil under Asian languages has little or no attention is been given. The challenges posed by Indian languages are(More)
Most the objective of intelligent systems is to create a model, which given a minimum amount of input data or information, is able to produce reliable recognition rates and correct decisions. In the application, when an individual classifier has reached its limit and, at the same time, it is hard to develop a better one, the solution might only be to(More)
Research on ice conditions in the lakes and rivers plays an important role in the study of Climate change and Global warming. Satellite images can improve the possibilities for classification of ice as they cover large areas. Numerous researches have shown classification based on texture features can improve the precision of the interpretation. This paper(More)
With the growing capacity of computer vision technology, there is more interest being directed towards the automatic recognition of sign language based solely on image sequences or videos. In this paper a well-built segmentation process is developed which helps to promote a better vision-based sign language recognition system. Segmentation is a challenging(More)