Title :
A comparison between features for a residential security prototype based on speaker identification with a model of artificial neural network
Author :
Adami, André Gustavo ; Lazzarotto, Gustavo Brandalise ; Foppa, Enio Francisco ; Barone, Dante Augusto Couto
Author_Institution :
Dept. of Inf., Univ. of Caxias do Sul, Brazil
Abstract :
This paper presents an implementation of a security system for elevators using speaker identification. The system uses a model of an artificial neural network called a multi-layer perceptron as a classifier. In this work, some features, such as pitch, formants, perceptual linear prediction coefficients, mel-cepstral coefficients and cepstral coefficients, are used to obtain the best results in the classification process
Keywords :
cepstral analysis; lifts; linear predictive coding; multilayer perceptrons; neurocontrollers; security; signal classification; speaker recognition; artificial neural network model; elevators; formants; mel-cepstral coefficients; multilayer perceptron; perceptual linear prediction coefficients; pitch; prototype system; residential security; speaker identification; speech classification; Artificial neural networks; Elevators; Feature extraction; Floors; Informatics; Magnetic devices; Prototypes; Security; Speaker recognition; Speech recognition;
Conference_Titel :
Computational Intelligence and Multimedia Applications, 1999. ICCIMA '99. Proceedings. Third International Conference on
Conference_Location :
New Delhi
Print_ISBN :
0-7695-0300-4
DOI :
10.1109/ICCIMA.1999.798497
