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Correlation based Transient Removal Method for Speech Signal Enhancement

Pushpraj Tanwar, Ajay Somkuwar. Published in Signal Processing.

Communications on Applied Electronics
Year of Publication: 2016
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: Pushpraj Tanwar, Ajay Somkuwar

Pushpraj Tanwar and Ajay Somkuwar. Correlation based Transient Removal Method for Speech Signal Enhancement. Communications on Applied Electronics 5(6):16-19, July 2016. BibTeX

	author = {Pushpraj Tanwar and Ajay Somkuwar},
	title = {Correlation based Transient Removal Method for Speech Signal Enhancement},
	journal = {Communications on Applied Electronics},
	issue_date = {July 2016},
	volume = {5},
	number = {6},
	month = {Jul},
	year = {2016},
	issn = {2394-4714},
	pages = {16-19},
	numpages = {4},
	url = {},
	doi = {10.5120/cae2016652311},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


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.


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Transient noise, signal assessment, autocorrelation, correlation coefficient, transient noise assessment