A Parameters Optimization Method of v-Support Vector Machine and Its Application in Speech Recognition
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| Title | A Parameters Optimization Method of v-Support Vector Machine and Its Application in Speech Recognition |
| Authors | |
| Abstract | An important factor that influences the performance of support vector machine is how to select its parameters. In traditional C-support vector machine, it is difficult to select penalty parameter C and kernel parameters, inappropriate choice of those values may cause deterioration of its performance and increase algorithm complexity. In order to solve those problems, in this paper, selected v - support vector machine as the research object, proposed an optimal parameters search method for the Gaussian kernel v - support vector machine based on improved particle swarm optimization, constructed a non- specific person and isolated words speech recognition system based on v - support vector machine using the optimized parameters firstly. Experiments show that this new v - support vector machine method achieves better speech recognition correct rates than traditional C-support vector machine in different signal to noise ratios and different words, this new improved method of optimizing v - SVM parameters is very efficient and has shorter convergence time, and makes v - support vector machine have better Performance in speech recognition system. |
| Publisher | ACADEMY PUBLISHER |
| Date | 2013-01-01 |
| Source | Journal of Computers Vol 8, No 1 (2013): Special Issue: Parallel Architecture, Algorithms and Programming |
| Rights | Copyright © ACADEMY PUBLISHER - All Rights Reserved.To request permission, please check out URL: http://www.academypublisher.com/copyrightpermission.html. |