Speaker authentication system using soft computing approaches

Authors:
Abdul Wahab;Goek See Ng;Romy Dickiyanto
Affiliations:
Centre for Computational Intellitence, Nanyang Technological University, Blk N4 #2A-36, Nanyang Avenue, Singapore 639798, Singapore;Centre for Computational Intellitence, Nanyang Technological University, Blk N4 #2A-36, Nanyang Avenue, Singapore 639798, Singapore;Centre for Computational Intellitence, Nanyang Technological University, Blk N4 #2A-36, Nanyang Avenue, Singapore 639798, Singapore
Venue:
Neurocomputing
Year:
2005

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Abstract

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.