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Slovak Language Model from Internet Text Data

  • Ján Staš
  • Daniel Hládek
  • Matúš Pleva
  • Jozef Juhár
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6456)

Abstract

Automatic speech recognition system is one of the parts of the multimodal dialogue system. It is necessary to create correct vocabulary and to generate suitable language model for this purpose. The main aim of this article is to describe a process of building statistical models of the Slovak language with large vocabulary trained on the text data gathered mainly from Internet sources. Several smoothing techniques for different sizes of vocabulary have been used in order to obtain an optimal model of the Slovak language. We have also employed pruning technique based on relative entropy for size reduction of a language model to find the maximum threshold of pruning with minimum degradation in recognition accuracy. Tests were performed by the decoder based on the HTK Toolkit.

Keywords

Language model n-grams speech recognition spellchecking text normalization vocabulary 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Ján Staš
    • 1
  • Daniel Hládek
    • 1
  • Matúš Pleva
    • 1
  • Jozef Juhár
    • 1
  1. 1.Laboratory of Advanced Speech Technologies, Faculty of Electrical Engineering and InformaticsTechnical University of KošiceKošiceSlovakia

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