Jev for voice agent turn detection
Veris AI blog post where Jev decides when a caller has finished speaking, cutting agent interruptions from 52% to 11% of turns.
This summary is based on how curated lists describe the project; its README was not available to review.
Overview
This Veris AI blog post applies Jev to turn detection in voice agents: deciding whether a caller has finished talking so the agent can respond without cutting them off. According to the list summary, using Jev reduced the share of turns where the agent interrupted the caller from 52 percent to 11 percent over the same 100 tasks.
Only the summary was collected, so the exact setup (audio or transcript input, thresholds, latency) is not described here.
What the decision model decides
| Type | Question | Answers |
|---|---|---|
| Yes / no | Has the caller finished their turn?(inferred) | — |
How it works
- Stream the caller's speech transcript
- Ask Jev whether the turn is complete
- Respond when the answer is confident; otherwise keep listening
- Compare interruption rates with the baseline
Strengths
- Reported large reduction in interruptions
Caveats
- Summary only; method details not collected
- 100 tasks in the reported comparison
At a glance
- Type
- Article
- Status
- research
Use cases and integrations
How curated lists describe it
Voice agents: has Jev decide when a caller has finished talking, cutting the share of turns where the agent interrupts its caller from 52% to 11% over the same 100 tasks.
yibie/awesome-jev
Frequently asked questions
What does Jev decide?
Whether a caller has finished speaking.
What improved?
The summary reports interruptions fell from 52 to 11 percent of turns over 100 tasks.
Where is it published?
On the Veris AI blog.
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