DocumentCode :
3623636
Title :
Brno University of Technology System for NIST 2005 Language Recognition Evaluation
Author :
Pavel Matejka;Lukas Burget;Petr Schwarz;Jan Cernocky
Author_Institution :
Speech@FIT group, Faculty of Information Technology, Brno University of Technology, Czech Republic. matejkap@fit.vutbr.cz
fYear :
2006
fDate :
6/1/2006 12:00:00 AM
Firstpage :
1
Lastpage :
7
Abstract :
This paper presents the language identification (LID) system developed in Speech@FIT group at Brno University of Technology (BUT) for NIST 2005 Language Recognition Evaluation. The system consists of two parts: phonotactic and acoustic. Phonotactic system is based on hybrid phoneme recognizers trained on SpeechDat-E database. Phoneme lattices are used to train and test phonotactic language models. Further improvement is obtained by using anti-models. Acoustic system is based on GMM modeling trained under maximum mutual information framework. We describe both parts and provide a discussion of performance on LRE 2005 recognition task
Keywords :
"NIST","Natural languages","Databases","Lattices","Training data","Performance evaluation","System testing","Speech recognition","Telephony","Speech analysis"
Publisher :
ieee
Conference_Titel :
Speaker and Language Recognition Workshop, 2006. IEEE Odyssey 2006: The
Print_ISBN :
1-424400471-1
Type :
conf
DOI :
10.1109/ODYSSEY.2006.248093
Filename :
4013510
Link To Document :
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