University of Hertfordshire

By the same authors

Open-Set Speaker Identification under Mismatch Conditions

Research output: Chapter in Book/Report/Conference proceedingConference contribution

View graph of relations
Original languageEnglish
Title of host publicationINTERSPEECH 2009
Subtitle of host publication10th Annual Conf of the Int Speech Communication Association
Place of PublicationBAIXAS
PublisherISCA-INST SPEECH COMMUNICATION ASSOC
Pages2303-2306
Number of pages4
Volume1-5
ISBN (Print)978-1-61567-692-7
Publication statusPublished - 2009
Event10th INTERSPEECH 2009 Conference - Brighton
Duration: 6 Sep 200910 Sep 2009

Conference

Conference10th INTERSPEECH 2009 Conference
CityBrighton
Period6/09/0910/09/09

Abstract

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 of such conditions through the introduction of a modified parallel model combination (PMC) method together with condition-adjusted T-Norm (CT-Norm) into the OSTI-SI framework. The experiments are conducted using examples of real world noise. Based on the outcomes, it is demonstrated that the above approach can lead to considerable improvements in the accuracy of open-set speaker identification operating under severely mismatched data conditions. The paper details the realisation of the modified PMC method and CT-Norm in the context of OSTI-SI, presents the experimental investigations and provides an analysis of the results.

ID: 535234