By Topic

Improved noise reduction in audio signals using spectral resolution enhancement with time-domain signal extrapolation

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)
Kauppinen, I. ; Dept. of Phys., Univ. of Turku, Finland ; Roth, K.

In this paper, we present significant improvement to frame-by-frame noise reduction methods which are based on spectral domain processing. This work mainly focuses on the analysis stage of the noise reduction process. It is common knowledge that better performance is obtained by increasing the spectral resolution. However, effective spectral resolution depends directly on the number of samples in the processing frame. This leads to the well-known tradeoff between spectral and temporal resolution. Our approach is to use a novel discrete signal extrapolation method to prolong the given signal frame, resulting in increased spectral resolution without losing any temporal quality. The improvement in the noise reduction is tested with objective and subjective evaluations. The effect of the human auditory system is taken into account in the objective measures. Subjective tests are performed to determine the quality improvement in a perceptual sense.

Published in:

Speech and Audio Processing, IEEE Transactions on  (Volume:13 ,  Issue: 6 )