Multimodal dialogue generation and pronunciation feedback system based on AI for intelligent English tutoring

This study develops an AI-based dialogue system for online English education to enhance interaction and personalization. The system features real-time interaction, personalized learning, multimedia compatibility, and intelligent evaluation. It adopts a layered architecture and integrates NLP, speech recognition (ASR), speech synthesis (TTS), and adaptive learner modeling. The dialogue module generates responses based on pre-trained models and context, while the voice module supports pronunciation correction. Domain-adaptive training improves accuracy, and content filtering ensures safety. System tests show strong performance in dialogue accuracy, grammar correction, and response speed, offering an effective solution for online English learning.