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Phoneme Similarity Error Correction System usingBhattacharyya Distance Measurement Method

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2010, 15(6), pp.73-80
  • 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 is providing inaccurate vocabulary and similar phoneme recognition due to reduce recognition rate. It's require method of similar phoneme recognition unrecognized and efficient feature extraction process. Therefore in this paper propose phoneme likelihood error correction improvement system using based on phoneme feature Bhattacharyya distance measurement. Phoneme likelihood is monophone training data phoneme using HMM feature extraction method, similar phoneme is induced recognition able to accurate phoneme using Bhattacharyya distance measurement. They are effective recognition rate improvement. System performance comparison as a result of recognition improve represent 1.2%, 97.91% by Euclidean distance measurement and dynamic time warping(DTW) system.

Citation status

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