Application of Android Voice Assistant based on Parallel Storage in Multimedia English Teaching Platform

Abstract

Abstract In recent years, supercomputing technology has become more and more important in scientific research and economic construction, and its application fields have become more and more extensive. Supercomputers and data storage are entering the E-class era, the computing power of supercomputer systems is rapidly increasing, and the amount of data is also growing rapidly. The contradictory relationship between parallel storage and computing has become more and more obvious, which poses a major challenge to the processing capabilities of supercomputer systems. Android speech recognition technology has great theoretical value and broad application prospects. In recent years, it has received widespread attention and achieved great success. The research of artificial neural networks (especially deep neural networks) has greatly improved the accuracy and speed of speech recognition, and has shifted speech recognition technology from laboratories to commercial systems, gradually affecting and improving people's work and life. The network teaching platform based on computer technology is not only a tool that can help teachers share knowledge, but also a tool that encourages students to learn independently, emotional stimulation tools, and a rich teaching environment. These tools have been organically integrated into the classroom environment and become traditional teaching methods have brought fundamental changes. The multimedia English course combines a variety of functions, such as text, graphics, images, sound, animation, and video. It has multimedia presentations, personalized teaching methods, diversified teaching methods and autonomous learning environments.