Gaussian mixture modelling of broad phonetic and syllabic events for text-independent speaker verification
Baker, Brendan J., Vogt, Robert J., & Sridharan, Sridha (2005) Gaussian mixture modelling of broad phonetic and syllabic events for text-independent speaker verification. In Eurospeech/Interspeech : Proceedings of the 9th European Conference on Speech Communication and Technology 2005, 4-8 September 2005, Lisbon, Portugal.
This paper examines the usefulness of a multilingual broad syllable-based framework for text-independent speaker verification. Syllabic segmentation is used in order to obtain a convenient unit for constrained and more detailed model generation. Gaussian mixture models are chosen as a suitable modelling paradigm for initial testing of the framework. Promising results are presented for the NIST 2003 speaker recognition evaluation corpus. The syllable-based modelling technique is shown to outperform a state-of-the-art baseline GMM system. A simple selective reduction of the syllable set is also shown to give further improvement in performance. Overall, the syllable based framework presents itself as valid alternative to text-constrained speaker verification systems, with the advantage of being multilingual. The framework allows for future testing of alternative modelling paradigms, feature sets and qualitative analysis.
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|Item Type:||Conference Paper|
|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
Past > Schools > School of Engineering Systems
|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 00:00|
|Last Modified:||29 Feb 2012 13:13|
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