Open AccessA NEW SPEECH ENHANCEMENT TECHNIQUE USING PERCEPTUAL CONSTRAINED SPECTRAL WEIGHTING FACTORS
Author(s) -
T. M. Sunil Kumar,
M. B. Rama Murthy,
Ch. V. Rama Rao,
K. Srinivasa Rao
Publication year - 2012
Publication title -
international journal of electronic signal and systems
Language(s) - English
Resource type - Journals
ISSN - 2231-5969
DOI - 10.47893/ijess.2012.1040
Subject(s) - speech recognition , speech enhancement , wiener filter , masking (illustration) , noise (video) , computer science , perception , weighting , a weighting , filter (signal processing) , noise reduction , artificial intelligence , acoustics , psychology , computer vision , physics , neuroscience , art , image (mathematics) , visual arts
This paper deals with musical noise result from perceptual speech enhancement type algorithms and especially wiener filtering. Although perceptual speech enhancement methods perform better than the non perceptual methods, most of them still return annoying residual musical noise. This is due to the fact that if only noise above the noise masking threshold is filtered then noise below the noise masking threshold can become audible if its maskers are filtered. It can affect the performance of perceptual speech enhancement method that process audible noise only. In order to overcome this drawback here proposed a new speech enhancement technique. It aims to improve the quality of the enhanced speech signal provided by perceptual wiener filtering by controlling the latter via a second filter regarded as a psychoacoustically motivated weighting factor. The simulation results shows that the performance is improved compared to other perceptual speech enhancement methods