Neuro-fuzzy-based biometric system using speech features

Authors:
Anupam Shukla;Ritu Tiwari;Chandra Prakash Rathore
Affiliations:
Indian Institute of Information Technology and Management (IIITM), National Highway, Morena Link Road, Gwalior 474010, India.;Indian Institute of Information Technology and Management (IIITM), National Highway, Morena Link Road, Gwalior 474010, India.;Indian Institute of Information Technology and Management (IIITM), National Highway, Morena Link Road, Gwalior 474010, India
Venue:
International Journal of Biometrics
Year:
2010

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Abstract

Biometric identification is one of the most developing areas. In this paper, a biometric system is simulated using speech features, which identifies the speaker along with their gender and mental status. Work here is broadly classified into two parts, i.e., extraction of the speech features, namely Pitch, Amplitude, Number of Zero-Crossing (NZC), Average Power Spectral Density (PSD) content in the speech of informant and in the second part an adaptive neuro-fuzzy based simulation model has been developed for speaker identification along with their gender and mental status. The recognition score varies depending on different input and output Membership Functions (MFs).