Speaker Recognition Using Dynamic Features and The Null Space Combination of Classifiers in The Sub-band Domain

This paper investigates the inclusion of dynamic features in the input vectors used by the multiple classification scheme which employ the null space to combine the likelihoods. Speaker identification experiments were performed considering four ambient noise and also different mismatched conditions. The results show that this strategy can contribute to increase the recognition accuracy.