• DocumentCode
    180474
  • Title

    The 2013 BBN Vietnamese telephone speech keyword spotting system

  • Author

    Tsakalidis, Stavros ; Hsiao, Ruey-Chang ; Karakos, Damianos ; Ng, Timothy ; Ranjan, Sudhir ; Saikumar, Guruprasad ; Le Zhang ; Nguyen, L. ; Schwartz, R. ; Makhoul, John

  • Author_Institution
    Raytheon BBN Technol., Cambridge, MA, USA
  • fYear
    2014
  • fDate
    4-9 May 2014
  • Firstpage
    7829
  • Lastpage
    7833
  • Abstract
    In this paper we describe the Vietnamese conversational telephone speech keyword spotting system under the IARPA Babel program for the 2013 evaluation conducted by NIST. The system contains several, recently developed, novel methods that significantly improve speech-to-text and keyword spotting performance such as stacked bottleneck neural network features, white listing, score normalization, and improvements on semi-supervised training methods. These methods resulted in the highest performance for the official IARPA Babel surprise language evaluation of 2013.
  • Keywords
    speech recognition; telephone sets; IARPA Babel surprise language evaluation; NIST; Vietnamese conversational telephone speech keyword spotting system; score normalization; semi-supervised training methods; speech-to-text; stacked bottleneck neural network features; white listing; Acoustics; Adaptation models; Hidden Markov models; Lattices; Speech; Speech recognition; Training; keyword spotting; score normalization; stacked bottleneck neural network features; white listing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
  • Conference_Location
    Florence
  • Type

    conf

  • DOI
    10.1109/ICASSP.2014.6855124
  • Filename
    6855124