Fuzzy Phonetic Decoding Method in a Phoneme Recognition Problem

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• 作者：Lyudmila V. Savchenko (21)
  Andrey V. Savchenko (22)
  
• 关键词：Automatic phoneme recognition ; Kullback ; Leibler minimum information discrimination principle ; phonetic decoding method ; fuzzy set theory
• 刊名：Lecture Notes in Computer Science
• 出版年：2013
• 出版时间：2013
• 年：2013
• 卷：7911
• 期：1
• 页码：184-191
• 全文大小：237KB
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• 作者单位：Lyudmila V. Savchenko (21)
  Andrey V. Savchenko (22)
  
  21. Nizhniy Novgorod State Linguistic University, Russia
  22. National Research University Higher School of Economics, Nizhniy Novgorod, Russia
  
• ISSN：1611-3349

文摘

The definition of a phoneme as a fuzzy set of minimal speech units from the model database is proposed. On the basis of this definition and the Kullback-Leibler minimum information discrimination principle the novel phoneme recognition algorithm has been developed as an enhancement of the phonetic decoding method. The experimental results in the problems of isolated vowels recognition and word recognition in Russian are presented. It is shown that the proposed method is characterized by the increase of recognition accuracy and reliability in comparison with the phonetic decoding method.