DocumentCode :
2161392
Title :
Speech Enhancement Based on Double RBF Networks
Author :
Guo, Jichang ; Guo, CLibin
Volume :
5
fYear :
2008
fDate :
27-30 May 2008
Firstpage :
357
Lastpage :
360
Abstract :
In this paper, a non-linear spectral estimation for noise reduction is present which is approximated and implemented by double Radial Basis Function (RBF) networks. The simulation results indicate that the method can greatly improve the quality and the intelligibility of speech, and have other advantages such as the widely applicable Signal-to-Noise Ratio (SNR) range, less computation load. Particularly the method may maintain the preferable accurate of signal in speech waveform, and the quality of speech signals have been improved obviously.
Keywords :
Electronic mail; Flowcharts; Frequency; Linear predictive coding; Neural networks; Noise reduction; Radial basis function networks; Signal processing; Signal to noise ratio; Speech enhancement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing, 2008. CISP '08. Congress on
Conference_Location :
Sanya, China
Print_ISBN :
978-0-7695-3119-9
Type :
conf
DOI :
10.1109/CISP.2008.732
Filename :
4566849
Link To Document :
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