JAL-Turn: Joint Acoustic-Linguistic Modeling for Real-Time and Robust Turn-Taking Detection in Full-Duplex Spoken Dialogue Systems
JAL-Turn: Joint Acoustic-Linguistic Modeling for Real-Time and Robust Turn-Taking Detection in Full-Duplex Spoken Dialogue Systems explores A lightweight, speech-only framework for real-time, robust turn-taking detection in voice AI agents, integrating acoustic and linguistic cues without adding latency.. Commercial viability score: 7/10 in Voice AI Agents.
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