Jev for Voice Agent Turn Detection
Veris tests Jev as a semantic turn-detection gate for one Pipecat voice agent from its VAmoS Pro Bench, with labels complete, short, and long. Interruptions fell from 52% to 11% of caller turns across noise conditions, but task completion barely moved and median replies slowed from 2.1 s to 4.6 s.
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- Last verified
- Oct 2026
Highlights
- Turn interruptions fell from 52% to 11% of caller turns overall, significant in every noise condition (all p < 10^-7).
- By condition: clean 31% to 8%, street 28% to 9%, cafe 33% to 8%, TV 64% to 14%.
- 600 simulated calls total: 100 tasks x 3 runs per configuration; verifier passes went from 50/300 to 53/300.
- Median reply time rose from 2.1 s to 4.6 s, mostly from held-open turns; Jev labels return in about 150 ms.
Watch out
Run by Veris AI on one Pipecat agent, comparing Pipecat 1.12 with Jev against 1.8 with a plain 0.8 s silence timer, using hold times they chose. The post states this is not a fair turn-detector comparison.
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