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

fYear

1991

fDate

14-17 Apr 1991

Firstpage

385

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on

Conference_Location

Toronto, Ont.

ISSN

1520-6149

Print_ISBN

0-7803-0003-3

Type

conf

DOI

10.1109/ICASSP.1991.150357

Filename

150357

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1914932