Research on Computer Digital Signal Processing Network based on the RBF Neural Network
Wenfu Zhang
Journal of Electronic Systems, Vol. 7, No. 3, 2017.
DOI: 
Link: http://www.dline.info/jes/fulltext/v7n3/jesv7n3_1.pdf
Abstract:
This article focuses on the genetic algorithm to improve computer assisted voice digital signal processing
technology, focusing on the effect of genetic algorithms in terms of speaker recognition, proposed a set of related technologies
using genetic algorithm to improve computer-aided optimization of voice processing solutions. The genetic algorithm (GA)
for speech processing plays an important role in vector quantization techniques used in the design process codebook into
local optimum problem, and for poorly performing computer-aided speech processing problems RBF network plays a very
important role obtained in the clustering process, combined with improved adaptive genetic algorithm to optimize the design
of the network training algorithms. Experimental results show a good effect on genetic algorithm optimized generated.