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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)
This paper reports a comparative study between continuous hidden Markov model (CHMM) and artificial neural network (ANN) on text dependent, closed set speaker identification (SID) system with Thai language recording in office environment. Thai isolated digit 0-9 and their concatenation are used as speaking text. Mel frequency cepstral coefficients (MFCC)(More)
Standard speaker recognition system employs a pre-processed form of an acoustic signal, which provides information about the distribution of signal energy across time and frequency. However, different signal representations may be employed, either as genuine alternatives to the acoustic representation, or as additional sources of information. Voice(More)
This paper proposes a new investigation on Gaussian mixture model (GMM) by comparing it with some preliminary experiments on multilayered perceptron network (MLP) with backpropagation learning algorithm (BKP) and dynamic time warping (DTW) techniques on Thai text-dependent speaker identification system. Three major identification engines are conducted on 50(More)
A text-dependent speaker identification system for Thai language was proposed. Thai isolated digits 0-9 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)