Arumugam Rathinavelu

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In this paper, a novel approach for implementing Tamil isolated speech phoneme recognition is described. While most of the literature on Automatic Speech Recognition (ASR) is based on Hidden Markov Models (HMM) and other approaches, our system is implemented using Feedforward neural networks (FFNet) with backpropagation algorithm. Our model consists of two(More)
Magnetic Resonance Imaging technique makes it possible to measure the motion of tissues in our body organs more clearly than other medical imaging techniques. The aim of this paper is to build a co-articulatory model based on Magnetic Resonance Images (MRI). This work is a blend of various emerging technologies such as computer vision based visualization(More)
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