Sutat Sae-tang

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This paper presents a neural network based text-dependent speaker identification system for Thai language. Linear Prediction Coefficients (LPC) are extracted from speech signal and formed feature vectors. These features are fed into multilayer perceptron (MLP) neural network with backpropagation learning algorithm for training and identification processes.(More)
Thai typed character recognition has been a very most popular research topic in Thailand. There are three commercial Thai OCR softwares available to the public at the present. But none of them can preserve the type styles of the original document image such as bold, italics, normal, and bold & italics styles into the output text file. This paper presents(More)
A text-dependent speaker identification system for Thai language was proposed. Thai isolated digits 09 and their concatenations were used for speaking text. Well-known artificial neural network (ANN) called multilayer perceptron (MLP) with backpropagation learning algorithm was conducted for recognition engine due to its simplicity and less processing time(More)
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