DocumentCode
2810141
Title
Improving speech intelligibility in an adverse condition using subband spectral subtraction method
Author
Makhijani, Rashmi ; Shrawankar, Urmila ; Thakare, V.M.
Author_Institution
Deptt. of C.S.E, G.H.Raisoni Coll. of Eng., Nagpur, India
fYear
2011
fDate
10-12 Feb. 2011
Firstpage
168
Lastpage
170
Abstract
Many people have great difficulty in Understanding speech with background noise. Speech Enhancement plays a vital role in such situations. The background noise has to be removed from the noisy speech signal to increase the signal intelligibility and to reduce the listener fatigue. In this paper, a novel approach is used to enhance the perceived quality of the speech signal when the additive noise cannot be directly controlled. The proposed approach is a speech enhancement method based on the preprocessed sub band spectral subtraction method, and the preprocessing is done by using partial differential equation.
Keywords
partial differential equations; signal denoising; spectral analysis; speech enhancement; speech intelligibility; additive noise; background noise; noisy speech signal; partial differential equation; signal intelligibility; speech enhancement method; speech intelligibility; subband spectral subtraction method; Accuracy; Artificial neural networks; Filtering; Noise measurement; Speech; Adaptive noise estimation; IS distance; Partial differential equation; Signal to Noise ratio; Sub band Spectral Subtraction;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications and Signal Processing (ICCSP), 2011 International Conference on
Conference_Location
Calicut
Print_ISBN
978-1-4244-9798-0
Type
conf
DOI
10.1109/ICCSP.2011.5739293
Filename
5739293
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