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Skrybot – A System for Automatic Speech Recognition of Polish Language

  • Lesław Pawlaczyk
  • Paweł Bosky
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 59)

Abstract

In this article we present a system for clustering and indexing of automatically recognised radio and television news spoken in Polish language. The aim of the system is to quickly navigate and search for information which is not available in standard internet search engines. The system comprises of speech recognition, alignment and indexing module. The recognition part is trained using dozens of hours of transcribed audio and millions of words representing modern Polish language. The training audio and text is then converted into acoustic and language model, where we apply techniques such as Hidden Markov Models and statistical language processing. The audio is decoded and later submitted into indexing engine which extracts summary information about the spoken topic. The system presents a significant potential in many areas such as media monitoring, university lectures indexing, automated telephone centres and security enhancements.

Keywords

speech recognition speech processing pattern recognition 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Lesław Pawlaczyk
    • 1
  • Paweł Bosky
  1. 1.Insitute of InformaticsSilesian University of TechnologyGliwicePoland

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