Sommelier: Scalable Open Multi-turn Audio Pre-processing for Full-duplex Speech Language Models

ArXi:2603.25750v1 Announce Type: cross As the paradigm of AI shifts from text-based LLMs to Speech Language Models (SLMs), there is a growing demand for full-duplex systems capable of real-time, natural human-computer interaction. However, the development of such models is constrained by the scarcity of high-quality, multi-speaker conversational data, as existing large-scale resources are predominantly single-speaker or limited in volume.