Speech and dialogue systems

Speech and dialogue systems is a research topic within Artificial Intelligence. Science Explorer counts 27k research works in it since 1951. 10.0% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the modeling and optimization of dialogue acts in spoken language systems, utilizing techniques such as Markov decision processes, user simulation, multimodal interaction, reinforcement learning, natural language generation, and the hidden information state model. The research also delves into semantic processing, referring expressions, and the management of dialogues in various contexts.

• Spoken Dialogue Systems
• Markov Decision Processes
• User Simulation
• Multimodal Interaction
• Reinforcement Learning
• Natural Language Generation
• Hidden Information State Model
• Dialog Management
• Semantic Processing
• Referring Expressions