Machine Recognition and Intelligent English Dialogue System Based on ELM Control Algorithm

Abstract

In this study, a machine recognition and intelligent English dialogue system model based on the control algorithm of Extreme learning machines (ELM) is established. The system can preprocess and analyze the features of speech input signal, separate and recognize the signal through ELM classifier, and synthesize speech. The recognition experiments and performance tests of the system model show that the speech separation recognition of the system is feasible, and the recognition accuracy for English is as high as 88.9%, which is higher than that of the reference SVM classifier and DBN classifier.