Novel Framework for Children’s Bilingual Pronunciation Correction based on Abnormal Speech Recognition Algorithm

Abstract

Novel framework for the children’s bilingual pronunciation correction based on abnormal speech recognition algorithm is designed and implemented in this study. The key innovation aspect of the designed study is the abnormal speech recognition algorithm. The designed speech recognition sub-flow chart is used to recognize human speech signals, create a speech library and store the speech library in the single-chip microcomputer. get a recognizable voice signal. According to Shannon sampling theorem, the periodic movement of the spectrum in the frequency domain with the sampling rate as the interval will cause the high-frequency part to overlap, hence, the novel processing unit is used to achieve the goal of correcting children’s bilingual pronunciation. Through the systematic testing, the performance is validated.