Syn-TurnTurk: A Synthetic Dataset for Turn-Taking Prediction in Turkish Dialogues

ArXi:2604.13620v1 Announce Type: cross Managing natural dialogue timing is a significant challenge for voice-based chatbots. Most current systems usually rely on simple silence detection, which often fails because human speech patterns involve irregular pauses. This causes bots to interrupt users, breaking the conversational flow. This problem is even severe for languages like Turkish, which lack high-quality datasets for turn-taking prediction. This paper