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