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Vocabulary Recognition Post-Processing System using Phoneme Similarity Error Correction

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2010, 15(7), pp.83-90
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

안찬식 1 Sang-Yeob Oh 2

1광운대학교
2경원대학교

Accredited

ABSTRACT

In vocabulary recognition system has reduce recognition rate unrecognized error cause of similar phoneme recognition and due to provided inaccurate vocabulary. Input of inaccurate vocabulary by feature extraction case of recognition by appear result of unrecognized or similar phoneme recognized. Also can't feature extraction properly when phoneme recognition is similar phoneme recognition. In this paper propose vocabulary recognition post-process error correction system using phoneme likelihood based on phoneme feature. Phoneme likelihood is monophone training phoneme data by find out using MFCC and LPC feature extraction method. Similar phoneme is induced able to recognition of accurate phoneme due to inaccurate vocabulary provided unrecognized reduced error rate. Find out error correction using phoneme likelihood and confidence when vocabulary recognition perform error correction for error proved vocabulary. System performance comparison as a result of recognition improve represent MFCC 7.5%, LPC 5.3% by system using error pattern and system using semantic.

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