Browsing Research publications by Author "Pillay, S.G."

Now showing items 1-7 of 7

    • Effectiveness of speaker-dependent feature score pruning in speaker verification 

      Pillay, S.G.; Ariyaeeinia, A.; Pawlewski, M. (Institute of Electrical and Electronics Engineers (IEEE), 2008)

    • Enhancement of multimodal biometric segregation using unconstrained cohort normalisation 

      Alsaade, F.; Ariyaeeinia, A.; Malegaonkar, A.; Pawlewski, M.; Pillay, S.G. (2008)
      This paper presents an investigation into the effects, on the accuracy of multimodal biometrics, of introducing unconstrained cohort normalisation (UCN) into the score-level fusion process. Whilst score normalisation has ...

    • Open-Set Speaker Identification under Mismatch Conditions 

      Pillay, S.G.; Ariyaeeinia, A.; Sivakumaran, P.; Pawlewski, M. (2009)
      This paper presents investigations into the performance of open-set, text-independent speaker identification (OSTI-SI) under mismatched data conditions. The scope of the study includes attempts to reduce the adverse effects ...

    • Open-Set Speaker Identification under Mismatch Conditions 

      Pillay, S.G.; Ariyaeeinia, A.; Sivakumaran, P.; Pawlewski, M. (ISCA-INST SPEECH COMMUNICATION ASSOC, 2009)
      This paper presents investigations into the performance of open-set, text-independent speaker identification (OSTI-SI) under mismatched data conditions. The scope of the study includes attempts to reduce the adverse effects ...

    • Qualitative fusion of normalised scores in multimodal biometrics 

      Alsaade, F.; Ariyaeeinia, A.; Malegaonkar, A.; Pillay, S.G. (2009)
      A new approach to enhancing the accuracy of multimodal biometrics is investigated. The proposed approach, which involves combining score normalisation and qualitative-based fusion, is shown to considerably improve the ...

    • Speaker Verification 

      School of Engineering and Technology; Science & Technology Research Institute; Centre for Engineering Research; Ariyaeeinia, A.; Pillay, S.G.; Pawlewski, M. (2010-05-06)
      A speaker verification method is proposed that first builds a general model of user utterances using a set of general training speech data. The user also trains the system by providing a training utterance, such as a ...

    • Speaker verification under mismatched data conditions 

      Pillay, S.G.; Ariyaeeinia, A.; Pawlewski, M.; Sivakumaran, P. (2009)
      This study presents investigations into the effectiveness of the state-of-the-art speaker verification techniques (i.e. GMM-UBM and GMM-SVM) in mismatched noise conditions. Based on experiments using white and real world ...