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文章基本信息

  • 标题:Design and Analysis of Speech Processing Using Kalman Filtering
  • 本地全文:下载
  • 作者:Vineela Murikipudi ; K.phani Srinivas D.S.ramkiran ; Prof.habibulla Khan
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2011
  • 卷号:24
  • 期号:02
  • 出版社:Journal of Theoretical and Applied
  • 摘要:

    Speech processing is used widely in every day’s applications that most people take for granted, such as network wire lines, cellular telephony, telephony system and telephone answering machines. Due to its popularity and increasing of demand, engineers are trying various approaches of improving the process. One of the methods for improving the process is Kalman filtering. Kalman filtering now become a popular filtering technique for estimating and resolving redundant errors containing in speech. The objective of this paper is to generate a reconstructed output speech signal from the input signal involving the application of a Kalman filter estimation technique. In this paper, Kalman filter is used to estimate the parameters of the autoregressive (AR) process and represented in the state-space domain.

  • 关键词:Kalman Filter; Noise Reduction; Speech Processing
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