Comparison of Grapheme and Phoneme Based Acoustic Modeling in LVCSR Task in Slovak

  • Michal Mirilovič
  • Jozef Juhár
  • Anton Čižmár
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5398)


Phonemes and allophones are the basic speech units for acoustic modeling in the majority of contemporary HMM based speech recognizers. Grapheme-based acoustic sub-word units were applied to multi-lingual and cross-lingual acoustic modeling in many tasks. Grapheme and phoneme based mono-, cross- and bilingual speech recognition of Czech and Slovak in the small and medium vocabulary task has been studied in our previous work. In this article we compare grapheme and phoneme based approach to acoustic modeling and model unit selection in large vocabulary continuous speech recognition (LVCSR) task in Slovak. The main goal of our experimental work is to investigate a possibility to select an optimal set of sub-word units for Slovak LVCSR system.


Speech Recognition Acoustic Modeling Speech Recognition System Word Error Rate Phonetic Transcription 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Michal Mirilovič
    • 1
  • Jozef Juhár
    • 1
  • Anton Čižmár
    • 1
  1. 1.Department of Electronics and Multimedia CommunicationTechnical University of KošiceSlovakia

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