# TamilEOT releases open models for detecting when Tamil callers finish speaking

_Published Monday, November 2, 2026 at 2:06 AM EST · AI, Science · Latest · Tier 2 — Notable_

Researchers released TamilEOT, an open dataset and two models that detect whether a Tamil telephone caller has finished speaking or is pausing. Their preprint reports accuracy of 83.71% and 86.13%, compared with 70.30% without task-specific training, on 4,168 clips from 30 unseen calls. Both models run in under 150 ms on a single laptop CPU thread.

The dataset contains 18,485 labelled turn boundaries from 116 conversations; data, model weights and code are public. Tests through the production voice-activity detector and streaming adapter reduced accuracy by a further 2.60 points, while 7.8% of boundaries never reached the model.

## Sources

- [cs.CL updates on arXiv.org](https://arxiv.org/abs/2609.05631)

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Canonical: https://techandbusiness.org/newswire/SEP-jg0K-yjQ-WM4H7sy_c
Published: 2026-11-02T07:06:18.301Z
Story chronology: 2026-11-02T05:00:00.000Z
Retrieved: 2026-11-02T09:57:13.738Z
Publisher: Tech & Business (techandbusiness.org)