DocumentCode :
2208038
Title :
Using neural networks for automatic speaker recognition: a practical approach
Author :
Pinto, Rafael G C P ; Pinto, Hardy L C P ; Calôba, Luiz P.
Author_Institution :
COPPE-UFRJ, Rio de Janeiro, Brazil
Volume :
2
fYear :
1995
fDate :
13-16 Aug 1995
Firstpage :
1078
Abstract :
This paper describes an automatic speaker recognition method for telephone speech, using acoustic processing of a single trisyllabic Portuguese word. Cepstrum coefficients are extracted from the linear predictive coefficients and no further processing is needed. In this method, the traditional classification method (non-Euclidean distance measurement) was efficiently substituted by a multi-layer neural network with encouraging results
Keywords :
cepstral analysis; linear predictive coding; neural nets; speaker recognition; speech processing; Portuguese word; acoustic processing; automatic speaker recognition; cepstrum coefficients; classification; linear predictive coefficients; multilayer neural network; telephone speech; Bandwidth; Cepstrum; Communication system security; Digital filters; Finite impulse response filter; Neural networks; Speaker recognition; Spectrogram; Speech recognition; Telephony;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1995., Proceedings., Proceedings of the 38th Midwest Symposium on
Conference_Location :
Rio de Janeiro
Print_ISBN :
0-7803-2972-4
Type :
conf
DOI :
10.1109/MWSCAS.1995.510281
Filename :
510281
Link To Document :
بازگشت