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  • 标题:Speech Enhancement and Recognition using Kalman Filter Modified via Radial Basis Function
  • 本地全文:下载
  • 作者:Mario Barnard ; Farag M. Lagnf ; Amr S. Mahmoud
  • 期刊名称:International Journal of Computer and Information Technology
  • 印刷版ISSN:2279-0764
  • 出版年度:2020
  • 卷号:9
  • 期号:2
  • 页码:33-37
  • 出版社:International Journal of Computer and Information Technology
  • 摘要:In this paper, a Radial Basis Function-based Kalmanfilter has been utilized to perform speech enhancement of an audiosignal. Moreover, in order to accomplish speech recognition,correlation after detecting signal envelop has been applied. Based onthe simulation result, it shows that using the radial basis functionbasedKalman filter (non-linear functions to estimate Q parameter)should lead to obtain better results..
  • 关键词:Kalman Filter; Radial Basis Function; Speech;Recognition
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