Patent Document ID: 8321368
Application ID: 12811006
Patent Flag: 1

Claim One:
1. An identification device for classifying observed data based on parameters of Gaussian mixture distributions on the assumption that a distribution of said observed data follows Gaussian mixture distributions, said identification device comprising: a power of two multiplier for calculating the following formulae: 
 h k,n upper =K k,n 2 −[z k,n log 2 e] [Formula 40] (where [z k, n log 2 e] denotes an integer part of z k, n log 2 e) 
 h k,n lower =h k,n upper 2 −1 [Formula 41] using a group z k, n of variables obtained based on respective feature vectors of a plurality of said observed data (k denotes 1 or 0 indicating a class, and n denotes a distribution number of a Gaussian distribution assumed in each class) and a group K k, n of constants obtained based on said parameter of Gaussian mixture distributions; an accumulator for calculating the following formulae 42, 43 g k upper = ∑ n = 1 N k ⁢ ⁢ h k , n upper [ Formula ⁢ ⁢ 42 ] g k lower = ∑ n = 1 N k ⁢ ⁢ h k , n lower [ Formula ⁢ ⁢ 43 ] (N k denotes the number of Gaussian mixture distributions of a class k) using said h k, n upper and said h k, n lower ; and a comparator for comparing said g k upper and said g k lower to classify said observed data, using g 1 upper ≦g 0 lower and g 0 upper ≦g 1 lower .