Digital Signal Processing Virtual Simulation English Pronunciation Teaching Platform Based on Ant Colony Algorithm

In English learning, good pronunciation and intonation are not only the basis for cultivating good listening and speaking abilities, but also have a direct impact on learners’ reading and writing abilities. Traditional English pronunciation teaching methods almost all emphasize theoretical knowledge, while students have fewer practical opportunities to practice, which leads to students’ lack of interest in English pronunciation learning. This paper presents a speech signal recognition method based on ACA, which can help English pronunciation teaching and provide support for intelligent English teaching. The results show that the speech recognition accuracy of this algorithm can reach 98.76%, which is 2.56% higher than that of back propagation neural network (BPNN) and 4.22% higher than that of genetic algorithm (GA). As an auxiliary teaching method, virtual teaching platform is applied to English teaching, which reflects the change of modern teaching philosophy and teaching mode, effectively creates a real English language environment, provides a platform for mutual communication and learning, effectively makes up for the deficiency of traditional English classroom teaching, stimulates learning motivation, stimulates thinking, improves English ability and classroom teaching efficiency.