Data Detection in Distributed Environment Based on Voice Interaction and English Network Teaching Management

Abstract

Abstract In recent years, due to the continuous progress of the intelligent society, information data has shown explosive growth in various industries such as transportation, healthcare, finance, education, and so on. Such a large amount of data has led to an increase in the difficulty of knowledge discovery. Due to the increasing amount of data in databases, it is difficult for these algorithms to ensure their recognition ability. Based on this, some scholars proposed a distributed environment data detection algorithm, and conducted research and analysis on online English teaching on this basis. Due to the rapid development of the Internet and information technology, traditional face-to-face classroom teaching has gradually been unable to meet today's diverse and personalized learning needs due to problems such as a single model and low interaction between teachers and students. The English online teaching management system fully utilizes the characteristics of the rapid transmission and multiple display methods of Internet information, and provides online teaching of traditional classroom teaching content through multimedia networks, fully meeting the personalized needs of students and enabling them to learn quickly. This article applies it to the management of English online teaching systems, increasing the effectiveness of English online teaching.