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  • 标题:Stochastic Speaker Recognition Model
  • 本地全文:下载
  • 作者:Július Zimmermann ; Július Zimmermann jr
  • 期刊名称:SKASE Journal of Theoretical Linguistics
  • 印刷版ISSN:1336-782X
  • 出版年度:2005
  • 卷号:02
  • 期号:01
  • 页码:2-2
  • 出版社:Slovak Association for the Study of English
  • 摘要:The task of speech processing is being spread over last years with speaker recognition, which consists of speaker identification and speaker verification. In the paper there is an explained method which uses the stochastic model to solve this task. The experiment has been done using hidden Markov models by means of HTK tool software. Testing speech materials consist of 200 speakers from corpus SpeechDat-Sk. Applied experiments reached the efficiency between 92,86% and 100%.
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