On the use of TDNN-extracted features information in talker identification

Authors:
Y. Bennani;P. Gallinari
Affiliations:
Lab. de Recherche en Inf., Univ. de Paris-Sud, Orsay, France;Lab. de Recherche en Inf., Univ. de Paris-Sud, Orsay, France
Venue:
ICASSP '91 Proceedings of the Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference
Year:
1991

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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.