DocumentCode
2175752
Title
An optimal filtering for unmasked noise prevention
Author
Amehraye, Asmaa ; Fillatre, Lionel ; Pastor, Dominique
Author_Institution
LRIT, ESIGETEL, Avon, France
fYear
2011
fDate
22-27 May 2011
Firstpage
4772
Lastpage
4775
Abstract
A new estimator, optimal in the frequency domain with respect to the masking properties of the human auditory system, is proposed. This new filtering technique prevents the emergence of post-filtering isolated tonals that increase the musical noise perception. Experimental results by means of objective tests show that this technique improves the enhanced speech quality.
Keywords
filtering theory; noise; signal denoising; speech processing; frequency domain; musical noise perception; optimal filtering; speech quality; unmasked noise prevention; Frequency domain analysis; Masking threshold; Noise; Noise measurement; Noise reduction; Speech; Speech enhancement; Masking threshold; Musical noise; Perceptual filtering; Speech distortion; maskee-to-audible noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Conference_Location
Prague
ISSN
1520-6149
Print_ISBN
978-1-4577-0538-0
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2011.5947422
Filename
5947422
Link To Document