Recognition of consonant based on the perceptron model

This paper proposes a new method for the recognition of consonant based on the Perceptron model. The recognition model is composed of the sensory, feature extraction, response and lateral inhibition layers. The recognition scores of 90.4% to 98.4% are obtained for unvoiced affricates, unvoiced plosives, unvoiced and voiced fricatives.