Research Article
Segmentation and Classification of Vowel Phonemes of
Assamese Speech Using a Hybrid Neural Framework
Algorithm 2
PNN learning algorithm.
(1) Statement: Classify input vowel patterns into | two category of vowel, VOWEL-A and VOWEL-B | (2) Initialize: Smoothing parameter | (Determined from observation of successful learning) | (3) Output of each pattern unit, | | ( is the weight vector) | (4) Find neuron activation function by performing non-linear operation of the form | | (5) Sum all the for category VOWEL-A and do the same for category VOWEL-B | (6) Take binary decision for the two summation outputs with variable weight given by- | | where, | and Priori probability of occurrence of pattern from VOWEL-A and VOWEL-B respectively | Loss associated with wrong decision | and No of patterns in | VOWEL-A and VOWEL-B respectively which is 10 for both categories |
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