Title :
Speaker recognition based on Probabilistic Neural Network
Author :
Wang, Jinming ; Wang, Geng
Author_Institution :
Inst. of Commun. Eng., PLA Univ. of Sci. & Tech., Nanjing, China
Abstract :
Probabilistic Neural Network(PNN) is considered a good speaker recognition method, but, the recognition performance of PNN is greatly depends on the selection of smoothing parameter. In this paper a new method is proposed to estimate the arrange of smoothing parameter based on the samples distances among different classes. The experimental results of speaker recognition based on PNN show that this method is effective.
Keywords :
neural nets; smoothing methods; speaker recognition; PNN; probabilistic neural network; smoothing parameter; speaker recognition; Neural networks; Probabilistic logic; Smoothing methods; Speaker recognition; Speech; Training; Vectors; Probabilistic Neural Network(PNN); Smoothing Parameter; Speaker recognition;
Conference_Titel :
Image and Signal Processing (CISP), 2011 4th International Congress on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9304-3
DOI :
10.1109/CISP.2011.6100707
