Quantitative analysis in speaker identification
In this study,a new method of vowel(vowel nuclear) identification by multivariate statistical analysis,inclued analysis on coefficient of variation,coefficient of correlation,test for normality,and analysis of variances(ANOV) was introduced,we construct a identification model of Mahalanobis distance method for male speakers with the correct rate of 98.3%,and a model of Fisher's discriminant method for female with the correct rate of 93.5%.
We report the status of RBCK calculations on nucleon structure with quenched and dynamical domain wall fermions. The quenched results for the moments of structure functions 〈 x 〉 q , 〈 x 〉 Δ u − Δ d , and 〈 1 〉 δ q from 1.3 GeV cutoff lattices are complete with non perturbative renormalization (NPR). The dynamical results with two degenerate dynamical quark flavors from 1.7 GeV cutoff lattices are without NPR while the axial charge result is naturally renormalized.