Title :
Voice articulator for Thai speaker recognition system
Author :
Limpanakorn, Shutinun ; Tanprasert, Chularat
Author_Institution :
Dept. of Comput. Sci., Thammasat Univ., Pathumthani, Thailand
Abstract :
Standard speaker recognition system employs a preprocessed form of an acoustic signal, which provides information about a 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 marvellous 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 16th coefficient order of MFCC.
Keywords :
backpropagation; feature extraction; multilayer perceptrons; signal representation; speaker recognition; speech recognition equipment; Bilabial articulator; Thai speaker recognition system; backpropagation multilayered perceptron; behavioral characteristics; biometrical articulator; biometrics identification; efficient computational time; feature extraction; physiological characteristics; recognition accuracy; speech production; speech signal representation; voice articulator; Acceleration; Biometrics; Information security; Larynx; Lungs; Mel frequency cepstral coefficient; Signal processing; Signal representations; Speaker recognition; Speech processing;
Conference_Titel :
Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on
Print_ISBN :
981-04-7524-1
DOI :
10.1109/ICONIP.2002.1201923
