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Data-driven clustering for blind feature mapping in speaker verification

Mason, Michael W., Vogt, Robert J., Baker, Brendan J., & Sridharan, Sridha (2005) Data-driven clustering for blind feature mapping in speaker verification. In Interspeech 2005, 4-8 September 2005, Lisbon, Portugal.

Abstract

Handset and channel mismatch degrades the performance of automatic speaker recognition systems significantly. This paper enhances the feature mapping technique by proposing an iterative clustering approach to context model generation which offers an improvement in the performance of feature mapping trained on labelled data and offers the potential to train feature mapping in the absence of correctly labelled background data. The performance of the clustered feature mapping models is demonstrated on an expanded version of the NIST 2003 Extended Data Task (EDT) protocol.

Impact and interest:

3 citations in Scopus
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Full-text downloads:

217 since deposited on 06 Nov 2008
40 in the past twelve months

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ID Code: 15492
Item Type: Conference Paper
Additional URLs:
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Natural Language Processing (080107)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Institutes > Information Security Institute
Copyright Owner: Copyright 2005 International Speech Communication Association (ISCA)
Copyright Statement: Reproduced in accordance with the copyright policy of the publisher.
Deposited On: 06 Nov 2008
Last Modified: 29 Feb 2012 23:13

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