Pitch and Energy Trajectory Modelling in a Syllable Length Temporal Framework for Language Identification

Martin, Terry, Wong, Eddie, Baker, Brendan J., Mason, Michael W., & Sridharan, Sridha (2004) Pitch and Energy Trajectory Modelling in a Syllable Length Temporal Framework for Language Identification. In Garcia, J., Rodriguez, J., Bimbot, F., Bonastre, J., & Campbell, J. (Eds.) Odyssey-04, The Speaker and Language Recognition Workshop, 31 May - 3 June, Toledo, Spain.

Abstract

Recent studies have indicated that language identity is encapsulated in a more complicated manner to that represented by short term acoustic features. In particular, trajectory information over syllable-like durations have shown significant promise. This study introduces a novel three-tiered language identification approach which incorporates this information as well as acoustic context in the form of broad syllabic events. Experimental results using the CallFriend database demonstrate the effectiveness of these systems at providing complementary information to a GMM based system.

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ID Code: 9982
Item Type: Conference Paper
Refereed: Yes
Additional Information: For more information, please refer to the conference website (http://www.isca-speech.org) or contact the authors.
Additional URLs:
ISBN: 8474907225
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Copyright Owner: Copyright 2004 (please consult author)
Deposited On: 08 Oct 2007 00:00
Last Modified: 29 Feb 2012 13:05

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