Spoken Language Understanding

Spoken Language Understanding (SLU) is a branch of Natural Language Processing (NLP) that focuses on extracting semantic information from spoken language to understand user intentions and needs. Its primary goal is to automatically analyze speech data to achieve accurate recognition and interpretation of spoken content, thereby supporting human-computer interaction, intelligent customer service, voice assistants, and other application scenarios, enhancing user experience and system response efficiency. SLU has significant application value in multimodal dialogue systems, sentiment analysis, and personalized recommendations.