The application of intelligent speech analysis in college English oral learning system

Computer assisted language learning has developed rapidly and has received widespread attention from more and more scholars. This discipline mainly promotes simple foreign language teaching activities through the assistance of computers and information technology. This article designs and implements an English speaking learning system based on speech recognition technology, which provides users with more time and space convenience advantages as well as diverse interactive characteristics when learning English speaking. The focus of this paper is on the computer-aided evaluation method of pronunciation quality in English speaking follow-up reading. Participants in the oral test can randomly select speech samples from the speech training database and follow them according to their standard pronunciation. During the operation of the system, the feature information of the two is extracted for comparison, and the pronunciation quality is evaluated by calculating the Euclidean distance between the feature parameters of the standard template and the training template. Finally, through experiments and testing, it was confirmed that the system can effectively improve the system's scoring performance by introducing average pronunciation level, and has a certain effect on improving users' oral pronunciation level.