| (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 th-order linear predictor FIR filter, |
| |
| that predicts the current value of the real-valued |
| 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 |