When a caller starts talking while a voice agent is still speaking, should the agent stop? This model makes that decision from text, in a few milliseconds. It reads one moment of a call: what the agent had already said, what it was about to say, and the caller's speech-recognised words. It then returns the probability that the agent should stop (INTERRUPT) or keep talking (CONTINUE). The CPU-friendly model: 38 ms per decision on 4 CPU threads. It matches the 400m on held-out business types and real calls, and gives up about 2 points under distribution shift. Have a GPU? bargein-classifier-ettin-400m is the flagship: more robust to distribution shift, at 8.5 ms on a GPU. Callers talk over…
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Hassan
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Models in Library2
Datasets in Library0
Models on Hugging Face9
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Models
When a caller starts talking while a voice agent is still speaking, should the agent stop? This model makes that decision from text, in a few milliseconds. It reads one moment of a call: what the agent had already said, what it was about to say, and the caller's speech-recognised words. It then returns the probability that the agent should stop (INTERRUPT) or keep talking (CONTINUE). The flagship model: the most robust to distribution shift (2 points ahead of the 150m on OOD-10k), at ~9 ms per decision on a GPU. Need CPU-only inference? bargein-classifier-ettin-150m runs in 38 ms on 4 CPU threads. Callers talk over voice agents all the time, and most of it should not stop the agent: "mm…