Recognition of consonant based on the perceptron model

24 March 2005

conference paper
Published by Institute of Electrical and Electronics Engineers (IEEE)

Vol. 8, 738-741
https://doi.org/10.1109/icassp.1983.1172080

Abstract

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.

Keywords

FEATURE EXTRACTION
SPEECH RECOGNITION
SPEECH ANALYSIS
LOGIC
VECTORS
POWER SYSTEM MODELING
FINITE IMPULSE RESPONSE FILTER
BAND PASS FILTERS
FREQUENCY
PHYSICS COMPUTING

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