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Speaker identification using a combination of different parameters as feature inputs to an artificial neural network classifier

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2 Author(s)
Moonasar, V. ; Dept. of Electron. Eng., ML Sultan Technikon, Durban, South Africa ; Venayagamoorthy, G.K.

This paper presents a technique using artificial neural networks (ANNs) for speaker identification that results in a better success rate compared to other techniques. The technique used in this paper uses both power spectral densities (PSDs) and linear prediction coefficients (LPCs) as feature inputs to a self organizing feature map to achieve a better identification performance. Results for speaker identification with different methods are presented and compared

Published in:

Africon, 1999 IEEE  (Volume:1 )

Date of Conference: