A novel approach of speaker authentication by fusion of speech and image features using Artificial Neural Networks

Authors:
Anupam Shukla;Ritu Tiwari
Affiliations:
Department of ICT, ABV-IIITM, Gwalior (MP), India.;Department of ICT, ABV-IIITM, Gwalior (MP), India
Venue:
International Journal of Information and Communication Technology
Year:
2008

Citing 5
Cited 2

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Artificial Neural Networks

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A novel approach of speaker authentication by fusion of speech and image features using Artificial Neural Networks

International Journal of Information and Communication Technology
Fusion of face and speech data for person identity verification

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A novel approach of speaker authentication by fusion of speech and image features using Artificial Neural Networks

International Journal of Information and Communication Technology
Neuro-fuzzy-based biometric system using speech features

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Abstract

This paper presents a decision fusion technique for a bimodal biometric verification system that makes use of facial and speech biometrics. This report considers multimodal biometric systems and their applicability to access control, authentication and security applications. We have simulated three Artificial Neural Network (ANN) models: firstly, speaker identification by speech parameters, secondly person identification by image parameters and finally the person authentication by fusion of speech and image feature. All the three ANN models are trained by Back-propagation algorithm.