Research Article
Segmentation and Classification of Vowel Phonemes of
Assamese Speech Using a Hybrid Neural Framework
Algorithm 1
SOM weight vector extraction algorithm.
(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 |
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