PSOC Based Isolated Speech Recognition System For Appliances Control

Abstract

Speech Recognition Systems(SRS) have been implemented by various processors including thedigital signal processors(DSPs) and field programmable gate arrays(FPGAs) and their performance has been reported in literature.The recognition of speech requires feature extractionand classification. The systems that use speech as input require a microcontroller to carry out the desiredactions. In this paper, Cypress Programmable System on Chip (PSoC) has been studied and used forimplementation of SRS. From all the available PSoCs, PSoC4 containing ARM Cortex-M3 as its CPU is used.Recognition performance isstudied using three feature extraction techniques (Zerocrossing, Zero crossing with end point detection and Zerocrossing with end point detection and Cochlear filter) andminimum distance classifier.Here we are using speech recognition torecognize the speech and compare with data base speech if itmatches one of the