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文章基本信息

  • 标题:Applications for dynamic language identification
  • 本地全文:下载
  • 作者:Paul Fogarassy-Neszly, Vasile Gherhes
  • 期刊名称:Romanian Conference on Human-Computer Interaction
  • 印刷版ISSN:2344-1690
  • 出版年度:2014
  • 期号:3888
  • 页码:51-54
  • 出版社:Matrix ROM
  • 摘要:This paper presents two different applications implementing two different methods for automatic language identification with the purpose of speech synthesis. Implemented algorithms are described, as well as specific working conditions of such applications and applications’ user interfaces are described. While the language identification based on character Unicode encoding detection need few system resources and is very fast, the statistical analysis based algorithms require more resources and are slower. Finding an optimal compromise is both a challenge for developers as for the user, who should decide at runtime the optimal application configuration for real working conditions. At the end of the paper several considerations are presented, concerning the indispensable inertia in language switching if the application is used for differentiated speech synthesis.
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