Date Added: Nov 2009
Performances of biometric speaker authentication systems are good in clean conditions but their reliability drops severely in noisy environments. Implementation of multibiometric systems using audio and visual experts is one of the solutions to this limitation. In this study, weighting for fusing the audio and visual expert scores is proposed to be adapted corresponding to the current environment. Frequent approach uses fixed weighting but this is inappropriate if the systems are executed in uncertain conditions.