<p>Self driving sensing networks, as an advanced technological means, provide new possibilities for the development of intelligent auxiliary systems. This study aims to explore the design and implementation of an English intelligent assistance system based on self driving sensor networks and speech recognition technology, with the aim of improving user experience and learning effectiveness. Self driving sensor networks can automatically extract and represent patterns in data by learning the inherent laws and features of the data, thus achieving intelligent applications. We have designed a system that combines self driving sensor networks with speech recognition technology to enhance the intelligence level of the system. We use self driving sensor networks to analyze and model user data, thereby achieving personalized user experience. By incorporating speech recognition function as a component, real-time recognition and feedback of user voice commands are achieved. By combining self driving sensor networks and speech recognition function, the system can more intelligently understand user needs and provide personalized services. The experimental results show that the English intelligent auxiliary system based on self driving sensor networks can efficiently and accurately recognize user voice commands and provide corresponding feedback, greatly improving the practicality and intelligence level of the system.</p>