<p>The traditional oral pronunciation evaluation method has the disadvantages of strong subjectivity and low efficiency. Therefore, this study aims to design an English oral pronunciation evaluation system, which combines sensor data and pronunciation recognition algorithms to achieve automatic evaluation of learners' oral pronunciation, improve the objectivity and effectiveness of the evaluation. Research on using sensors to collect data from learners, preprocessing the collected sound data using speech signal processing technology, using speech recognition algorithms to recognize and analyze learners' spoken pronunciation, and combining acoustic and language models to achieve accurate recognition and evaluation of spoken pronunciation. Finally, based on the analysis results of sensor data and pronunciation recognition algorithms, the structure and parameter settings of the oral pronunciation evaluation model are designed, and the oral pronunciation evaluation model is trained to automatically evaluate the quality of learners' oral pronunciation. The experimental results show that the English oral pronunciation evaluation system based on sensor data and pronunciation recognition algorithms can accurately evaluate the oral pronunciation of learners, with high objectivity and accuracy. The system plays a positive auxiliary role in oral pronunciation training.</p>