This study aims to explore the case of robust speaker recognition with multi-session
enrollments and noise, with an emphasis on optimal organization and utilization of speaker …

Recent research has demonstrated the merit of combining Gaussian mixture models and
support vector machine (SVM) for text-independent speaker verification. However, one …

In open-set speaker identification systems a known phenomenon is that the false alarm
(accept) error rate increases dramatically when increasing the number of registered …

The fine spectral structure related to pitch information is conveyed in Mel cepstral features,
with variations in pitch causing variations in the features. For speaker recognition systems …

In conventional speaker recognition tasks, the amount of training data is almost the same for
each speaker, and the speaker model structure is uniform and specified manually according …

ABSTRACT A popular score normalization technique termed T-norm is the central focus of
this paper. Based on widely confirmed experimental observation regarding T-norm tilting the …

In large-scale deployments of speaker recognition systems the potential for legacy problems
increases as the evolving technology may require configuration changes in the system thus …

Networks of classifiers are capturing the attention of system and algorithmic researchers
because they offer improved accuracy over single model classifiers, can be distributed over …

Networks of classifiers are capturing the attention of system and algorithmic researchers
because they offer improved accuracy over single model classifiers, can be distributed over …

The effect of utterance length on the estimation of the likelihood of a speaker has previously
seen a brief treatment in past works. In many speaker recognition evaluations, the …