Fusion of Face and Speech Features with Artificial Neural Network for Speaker Authentication
Anupam Shukla, Ritu Tiwari · IETE Technical Review · 2014
AbstractBiometric person identity authentication is gaining more and more attention. The authentication task performed by an expert is a binary classification problem: reject or accept identity claim. Combining experts, each based on a different modality (speech, face, fingerprint, etc.), increases the performance and robustness of identity authentication systems. In this context, a key issue is the fusion of the different experts for taking a final decision (i.e., accept or reject identity claim). An automatic speaker authentication system based solely on speech or faces is often not able to meet the system performance requirements. We have developed a prototype biometric system, which integrates faces and speech utterances. The system overcomes the limitations of face recognition systems as well as speech based verification systems. The work here is broadly classified into three parts; firstly, extractions of speech parameters, secondly extractions of image parameters and finally the simulated Artificia...