|Communications on Applied Electronics|
|Foundation of Computer Science (FCS), NY, USA|
|Volume 5 - Number 6|
|Year of Publication: 2016|
|Authors: Pushpraj Tanwar, Ajay Somkuwar|
Pushpraj Tanwar, Ajay Somkuwar . Correlation based Transient Removal Method for Speech Signal Enhancement. Communications on Applied Electronics. 5, 6 ( Jul 2016), 16-19. DOI=10.5120/cae2016652311
In this article, unwanted transients are specified by correlating the previous shade power standards and eliminated the detected transients. Various studies have been done on the autocorrelation based method to perform the noise reduction in speech signals. The speech signal is a one dimensional signal, for that the correlation may be with its delayed function. The proposed method uses recursive approach and the autocorrelation coefficient as a constraint or stopping criterion. The algorithm solves the transient problem of threshold for transient reduction and provides the alternative. The final simulation modelling shows the results.