Radial Basis Functions With Wavelet Packets For Recognizing Arabic Speech

摘要

In this paper, a Neural Network (NN) approach for the recognition of the Arabic digits is presented. The two phases of training and testing in a Radial Basis Functions (RBF) type network is described. Bi-Orthogonal Wavelets are constructed and used for analysis of generated subwords of the digits. This approach decomposes spoken Arabic digits based on the acoustical information contained within the speech signals. The procedure locates the boundaries between subwords by finding the peaks in the function representing the spectral change between consecutive speech frames. Then, the Frame-based energy parameters derived from a Wavelet Packet Scale (WPS) are used in deriving the Spectral Variation Function (SVF).