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
Link To Document :
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