By Topic

A computationally efficient approach to the removal of impulse noise from digitized speech

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Kundu, A. ; State University of New York, Buffalo, NY ; Mitra, S.K.

A new two-step algorithm for removing impulse noise from speech data is outlined. In the first step, a threshold detection scheme is used to determine whether or not the speech sample in question is corrupted by an impulse. The threshold is derived using a statistical theory. In the second step, when the sample has been determined to be noise corrupted, the noisy sample is replaced by a sample generated using a simple least square interpolation scheme. Otherwise, no filtering is done if the sample is determined to be noise free. The performance of the proposed algorithm is shown to be comparable to the more well-known DDC scheme in reducing the noise.

Published in:

Acoustics, Speech and Signal Processing, IEEE Transactions on  (Volume:35 ,  Issue: 4 )