Application of Large Language Model Based on Knowledge Graph in Speech Dialogue System

Abstract. This paper comprehensively discusses the development status and future direction of AI-driven voice interaction systems, focusing on key technologies such as automatic speech recognition (ASR), natural language processing (NLP), and text-to-speech (TTS). With the continuous advancement of deep learning technology, voice interaction systems have achieved significant improvements in accuracy, naturalness, and user experience. However, these systems still face challenges such as accent recognition, background noise processing, complex query comprehension, and emotional expression. By analyzing the existing research results, this paper proposes that the research should focus on developing more robust models to achieve generalization across languages and dialects, and improve the system's ability to handle complex interactions.