Speaker authentication system using soft computing approaches

Abdul Wahab

doi:10.1016/j.neucom.2005.02.004

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Speaker authentication system using soft computing approaches

2005-10-01

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Abdul Wahab

Goek See Ng

Romy Dickiyanto

DOI：10.1016/j.neucom.2005.02.004

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Abstract

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Speaker authentication has been developed rapidly in the last few decades. This research work attempts to extract the hidden features of human voice that is able to simulate human auditory system characteristics in speaker authentication. The hidden features are then presented as inputs to a Multi-Layer Perceptron Neural Network and Generic Self-organizing Fuzzy Neural Network to verify the speakers with high accuracy. Based on the experimental results, the two networks are able to verify speakers using two method in extracting hidden features from the recorded voice sources. (c) 2005 Elsevier B.V. All rights reserved.

Keywords:

fuzzy neural networks

speaker authentication system

pattern matching

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