• 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