Online Automatic Evaluation System of English Pronunciation based on Computer Network

To improve the ability of online automatic measurement of English language proficiency and the best online automatic measurement of English language proficiency, this paper introduces online presence and dynamic synchronous knowledge in addition to the use of automatic measurement of good English proficiency system hardware design with computer networks and integrated DSP. The design system is divided into two parts: speaker signal processing technology and hardware design. Sound sensor is used to write English language. Multilayer wavelet function scaling transformation is used to extract English features. As a result, we have a sophisticated filter for visualizing and analyzing English characters, and extracting the entropy properties of the English meaning wave. Wavelet entropy feature extraction is derived from the English language and performs automatic speech recognition. The STC12C5A60S2 chip is used as the main control chip, and combined with the design process load design, the system hardware integration design is carried out. According to the test results, the accuracy and security of this system is high.