Title :
Speech Enhancement Based on Double RBF Networks
Author :
Guo, Jichang ; Guo, CLibin
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;
Conference_Titel :
Image and Signal Processing, 2008. CISP '08. Congress on
Conference_Location :
Sanya, China
Print_ISBN :
978-0-7695-3119-9
DOI :
10.1109/CISP.2008.732