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文章基本信息

  • 标题:Speaker Verification System Improved by Mood Recognition System
  • 本地全文:下载
  • 作者:Safi Seyyed Mohammad ; Aynehband Meghdad
  • 期刊名称:International Journal of Computer Science and Network Solutions
  • 印刷版ISSN:2345-3397
  • 出版年度:2016
  • 卷号:4
  • 期号:4
  • 页码:10-20
  • 出版社:International Journal of Computer Science and Network Solutions
  • 摘要:Identify users can be important problem in current systems; one of this techniques is based on its sound. Verification a person can be very sensitive and ate a lot of process. This paper tries to provide a new method on emotion detection based by using HMM and achieves good results for accuracy. Hidden Markov model is one of the most important models in speech and speaker recognition, that the several strong researches confirmed this method. This research attempts to recognize person based on the mathematical model of the emotional detection by recognizing its voice
  • 关键词:hidden Markov model; mode detection
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