Strategies for Developing a Real-Time Continuous Speech Recognition System for Czech Language

  • Authors:
  • Jan Nouza

  • Affiliations:
  • -

  • Venue:
  • TSD '02 Proceedings of the 5th International Conference on Text, Speech and Dialogue
  • Year:
  • 2002

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Abstract

This paper presents a set of 'strategies' that enabled the development of a real-time continuous speech recognition system for Czech language. The optimization strategies include efficient computation of HMM probability densities, pruning schemes applied to HMM states, words and word hypotheses, a bigram compression technique as well as parallel implementation of the real recognition system. In a series of off-line speaker-independent tests done with 1,600 Czech sentences based on 7,033-word lexicon we got 65% recognition rate. Several on-line tests proved that similar rates can be achieved under real conditions and with response time that is shorter than 1 second.