Joint Speech and Text Training for LLM-Based End-to-End Spoken Dialogue State Tracking
Published:Nov 27, 2025 14:36
•1 min read
•ArXiv
Analysis
This article likely presents a research paper exploring the use of Large Language Models (LLMs) for spoken dialogue state tracking. The focus is on training the LLM using both speech and text data, which is a common approach to improve performance in speech-related tasks. The title suggests an end-to-end approach, meaning the system likely processes the entire dialogue without intermediate steps. The source, ArXiv, indicates this is a pre-print, meaning it's a research paper that has not yet undergone peer review.
Key Takeaways
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