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  • 标题:Develop and Validate RLS and Refined RLS Adaptive Filter Algorithm for Speech Enhancement
  • 本地全文:下载
  • 作者:Mrinal Bachute ; Dr. R D Kharadkar ; Dr. S S Dorle
  • 期刊名称:International Journal of Computer Science and Network
  • 印刷版ISSN:2277-5420
  • 出版年度:2015
  • 卷号:4
  • 期号:5
  • 页码:785-792
  • 出版社:IJCSN publisher
  • 摘要:One of the important means of communication is speech signal. In case of long distance communication it is important to maintain the quality of speech signal. The speech signal may get corrupted due to different types of noise. Hence, becomes a challenge to maintain high quality of speech signal [2]. Noise Cancellation is a technique used for reducing undesired noise signal. Communication has become an integral part of our life. The paper aims to investigate performance of recursive least square adaptive algorithms in speech enhancement application. Objective of Implementing and analyzing the algorithms is to modify the algorithm to improve convergence behaviour, reduce computational requirements and decrease steady state mean square error. Experimental results revel that modified RLS algorithms perform better than the existing algorithms
  • 关键词:RLS;Modified RLS;Speech Enhancement;SNR
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