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.
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.
Impact and interest:
Citation counts are sourced monthly from and citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
|Item Type:||Conference Paper|
|Additional Information:||For more information, please refer to the conference website (http://www.isca-speech.org) or contact the authors.|
|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|
Repository Staff Only: item control page