(1) Input: Spoken word of size , sampling 
frequency , duration second 
(2) Preprocess the signal using preprocessing 
algorithms described in Section 7.1 
(3) Initialize , order of linear prediction 
(4) Find the coefficients of a thorder linear predictor FIR filter, 

that predicts the current value of the realvalued 
preprocessed time series , based on past samples. 
(5) Store 
(6) Take an topology map whose neurons are arranged in 
an dimensional hexagonal pattern. 
(7) Initialize weight to a small random number. 
(8) Initialize learning parameter, and neighbors,

(9) for to () do 
pick a(k) 
find Wining neuron as, 

Update synaptic vectors of the wining cluster, 

Update ,

(10) Store updated weight as , where 