Title :
On the use of TDNN-extracted features information in talker identification
Author :
Bennani, Younès ; Gallinari, Patrick
Author_Institution :
Lab. de Recherche en Inf., Univ. de Paris-Sud, Orsay, France
Abstract :
The authors propose a novel model for text-independent talker identification which uses TDNN (time-delay neural network) extracted feature information. This model has been tested on 20 speakers (10 male and 10 female) from the TIMIT database using an LPC (linear predictive coding) parameterization. An average identification of 98% was observed
Keywords :
filtering and prediction theory; neural nets; speech recognition; LPC; TDNN-extracted features information; TIMIT database; linear predictive coding; speech recognition; text-independent talker identification; time-delay neural network; Data mining; Databases; Electronic mail; Feature extraction; Linear predictive coding; Neural networks; Signal analysis; Speech; TV; Testing;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
Conference_Location :
Toronto, Ont.
Print_ISBN :
0-7803-0003-3
DOI :
10.1109/ICASSP.1991.150357
