Title :
Adaptive noise estimation algorithm for speech enhancement
Author :
Lin, L. ; Holmes, W.H. ; Ambikairajah, E.
Author_Institution :
Sch. of Electr. Eng. & Telecommun., Univ. of New South Wales, Sydney, NSW, Australia
fDate :
5/1/2003 12:00:00 AM
Abstract :
An efficient noise estimation algorithm for speech enhancement is proposed. The noisy speech is decomposed into subband signals and the subband noise estimate is updated by adaptively smoothing the noisy signal power. The smoothing parameter is chosen as a function of the estimated signal-to-noise ratio (SNR). This noise estimation technique gives reliable results even at very low SNRs.
Keywords :
random noise; smoothing methods; speech enhancement; adaptive noise estimation algorithm; noisy signal power; signal-to-noise ratio; smoothing parameter; speech enhancement; subband noise estimate; subband signals;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20030480
