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RESEARCH ON DIALECT-SPECIFIC LEXICON ADAPTATION

         

摘要

With respect m dialectal-accented speech recognition, dialect-specific lexicon adaptation is an indispensable component to improve the performance. In this paper, a phone-based confusion matrix is adopted to obtain dialect-specific pronunciation variants. A weighting method, improved context-dependent weighting (ICDW) is proposed to characterize the pronunciation probability precisely by taking both the surface form left-context-dependency and the base form left-context-dependency into account. To make a much robust lexicon, a pruning criterion, syllable-dependent pruning (SDP), is also proposed which achieves the most effective result. In summary, the dialect-specific dialect adaptation reduces a 2.9% absolute and a 3.6% absolute in syllable error rate (SER) respectively on read speech and spontaneous speech from Shanghai-accented speakers.

著录项

  • 来源
    《信息通信技术》 |2008年第2期|55-60|共6页
  • 作者

    Liu Linquan;

  • 作者单位

    Center for Speech Technology, State Key Laboratory of Intelligent Technology and Systems,Department of Computer Science & Technology, Tsingzhua University, Beijing, 100084, China;

  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类
  • 关键词

    ICDW; SDP; SER;

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