<p>With the support of current digital technology, it has become a trend to develop intelligent English oral teaching assistance systems using sound sensors and semantic analysis technology. The aim of this study is to design and implement an intelligent assisted teaching system based on sound sensors and semantic analysis to enhance students’ English speaking ability. Capture students’ oral data through sound sensors, process speech signals, decode and extract features from audio data, and then use semantic analysis techniques to process and analyze oral data. The system will provide corresponding assistance and feedback based on students’ oral expression, including suggestions on pronunciation guidance, speech speed control, and other aspects. By continuously capturing students’ oral data, utilizing semantic analysis techniques, and providing personalized assistance and feedback, this system can effectively help students improve their oral expression abilities. During the use of the system, students will improve their oral skills more targeted and gradually enhance the accuracy and fluency of their oral expression.</p>