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 articulator encourages a viability and a potential of the speech signal representation especially in a Thai speaker recognition system. Applying the biometrical voice articulator additionally with a Backpropagation multilayered perceptron attains a high recognition accuracy. LPC and MFCC with several coefficient orders have been performed comparatively. The highest percentage of recognition accuracy with an efficient computational time is 97.24 % belonging to the Bilabial articulator from the l6'n coefficient order of MFCC
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