New state clustering of hidden Markov network with Korean phonological rules for speech recognition

Se Jin Oh, Hyun Yeol Chung, Cheol Jun Hwang, Bum Koog Kim, Akinori Ito

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

In this paper, we adopted the Korean phonological rules to state clustering of contextual domain for representing the unknown contexts and tying the model parameters of new states in state clustering of SSS (Successive State Splitting). We used the Decision Tree-based Successive State Splitting (DT-SSS) algorithm, which splits the state of contexts based on phonetic knowledge. The SSS algorithm proposed by Sagayama is a powerful technique, which designed topologies of tied-state HMMs automatically, but it doesnt generate unknown contexts adequately. In addition it has some problem in the contextual splits procedure. In this paper, the speaker independent Korean isolated word and sentence recognition experiments are carried out. In word recognition experiments, this method shows an average of 6.3% higher word recognition accuracy than the conventional HMMs. And in sentence recognition experiments, it shows an average of 90.9% recognition accuracy.

本文言語English
ホスト出版物のタイトル2001 IEEE Fourth Workshop on Multimedia Signal Processing
編集者J.-L. Dugelay, K. Rose, J.-L. Dugelay, K. Rose
ページ39-44
ページ数6
出版ステータスPublished - 2001 12 1
外部発表はい
イベント2001 IEEE fourth Workshop on Multimedia Signal Processing - Cannes, France
継続期間: 2001 10 32001 10 5

出版物シリーズ

名前2001 IEEE Fourth Workshop on Multimedia Signal Processing

Other

Other2001 IEEE fourth Workshop on Multimedia Signal Processing
CountryFrance
CityCannes
Period01/10/301/10/5

ASJC Scopus subject areas

  • Engineering(all)

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