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Vocabulary Recognition Retrieval Optimized System using MLHF Model

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2009, 14(10), pp.217-223
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

안찬식 1 Sang-Yeob Oh 2

1광운대학교
2경원대학교

Accredited

ABSTRACT

Vocabulary recognition system of Mobile terminal is executed statistical method for vocabulary recognition and used statistical grammar recognition system using N-gram. If limit arithmetic processing capacity in memory of vocabulary to grow then vocabulary recognition algorithm complicated and need a large scale search space and many processing time on account of impossible to process. This study suggest vocabulary recognition optimize using MLHF System. MLHF separate acoustic search and lexical search system using FLaVoR. Acoustic search feature vector of speech signal extract using HMM, lexical search recognition execution using Levenshtein distance algorithm. System performance as a result of represent vocabulary dependence recognition rate of 98.63%, vocabulary independence recognition rate of 97.91%, represent recognition speed of 1.61 second.

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