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TEN-framework
ten-vad
C2025–2025
TEN-framework / ten-vad

ten-vad

Voice Activity Detector (VAD) : low-latency, high-performance and lightweight

2Distinct people
4Mentions
0Explicit recommenders
2.3KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Voice Activity Detector (VAD) : low-latency, high-performance and lightweight

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by day4 dated mentions

Observed mentions: 2025-07-02 08:53:54 UTC to 2025-07-24 05:50:36 UTC.

0122025-07-02 00:00:00 UTC to 2025-07-03 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 commentsJul 22025-07-03 00:00:00 UTC to 2025-07-04 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-07-04 00:00:00 UTC to 2025-07-05 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-07-05 00:00:00 UTC to 2025-07-06 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-07-06 00:00:00 UTC to 2025-07-07 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-07-07 00:00:00 UTC to 2025-07-08 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-07-08 00:00:00 UTC to 2025-07-09 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-07-09 00:00:00 UTC to 2025-07-10 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-07-10 00:00:00 UTC to 2025-07-11 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2025-07-11 00:00:00 UTC to 2025-07-12 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-07-12 00:00:00 UTC to 2025-07-13 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-07-13 00:00:00 UTC to 2025-07-14 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsJul 132025-07-14 00:00:00 UTC to 2025-07-15 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-07-15 00:00:00 UTC to 2025-07-16 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-07-16 00:00:00 UTC to 2025-07-17 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-07-17 00:00:00 UTC to 2025-07-18 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-07-18 00:00:00 UTC to 2025-07-19 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-07-19 00:00:00 UTC to 2025-07-20 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-07-20 00:00:00 UTC to 2025-07-21 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-07-21 00:00:00 UTC to 2025-07-22 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-07-22 00:00:00 UTC to 2025-07-23 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-07-23 00:00:00 UTC to 2025-07-24 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-07-24 00:00:00 UTC to 2025-07-25 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsJul 24

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Jul 22025-07-02 00:00:00 UTC2025-07-03 00:00:00 UTC211
Jul 32025-07-03 00:00:00 UTC2025-07-04 00:00:00 UTC000
Jul 42025-07-04 00:00:00 UTC2025-07-05 00:00:00 UTC000
Jul 52025-07-05 00:00:00 UTC2025-07-06 00:00:00 UTC000
Jul 62025-07-06 00:00:00 UTC2025-07-07 00:00:00 UTC000
Jul 72025-07-07 00:00:00 UTC2025-07-08 00:00:00 UTC000
Jul 82025-07-08 00:00:00 UTC2025-07-09 00:00:00 UTC000
Jul 92025-07-09 00:00:00 UTC2025-07-10 00:00:00 UTC000
Jul 102025-07-10 00:00:00 UTC2025-07-11 00:00:00 UTC110
Jul 112025-07-11 00:00:00 UTC2025-07-12 00:00:00 UTC000
Jul 122025-07-12 00:00:00 UTC2025-07-13 00:00:00 UTC000
Jul 132025-07-13 00:00:00 UTC2025-07-14 00:00:00 UTC000
Jul 142025-07-14 00:00:00 UTC2025-07-15 00:00:00 UTC000
Jul 152025-07-15 00:00:00 UTC2025-07-16 00:00:00 UTC000
Jul 162025-07-16 00:00:00 UTC2025-07-17 00:00:00 UTC000
Jul 172025-07-17 00:00:00 UTC2025-07-18 00:00:00 UTC000
Jul 182025-07-18 00:00:00 UTC2025-07-19 00:00:00 UTC000
Jul 192025-07-19 00:00:00 UTC2025-07-20 00:00:00 UTC000
Jul 202025-07-20 00:00:00 UTC2025-07-21 00:00:00 UTC000
Jul 212025-07-21 00:00:00 UTC2025-07-22 00:00:00 UTC000
Jul 222025-07-22 00:00:00 UTC2025-07-23 00:00:00 UTC000
Jul 232025-07-23 00:00:00 UTC2025-07-24 00:00:00 UTC000
Jul 242025-07-24 00:00:00 UTC2025-07-25 00:00:00 UTC101

What Hacker News says

4 sources

Show HN: Boost Your Voice AI Agents with Open-Source Ten VAD

Voice Activity Detection (VAD) is a crucial component for Voice AI, enabling more natural and efficient interactions. TEN VAD is an open-source solution designed to supercharge your Voice AI Agents with lightning-fast, human-like conversations! TEN VAD offers some key advantages: ONNX Support: Deploy on virtually any platform or hardware architecture! This means greater flexibility and easier integration into your existing systems. Superior Detection Accuracy: Experience noticeable improvements in voice detection, leading to fewer errors and more reliable performance. Smaller & Faster: Enjoy a 32% reduction in Real-Time Factor (RTF) and an 86% size reduction compared to Silero VAD! This translates to lower resource consumption and faster processing. Get the code: https://github.com/ten-framework/ten-vad
8 points · Open discussion
Voice Activity Detection (VAD) is a crucial component for Voice AI, enabling more natural and efficient interactions. TEN VAD is an open-source solution designed to supercharge your Voice AI Agents with lightning-fast, human-like conversations! TEN VAD offers some key advantages: ONNX Support: Deploy on virtually any platform or hardware architecture! This means greater flexibility and easier integration into your existing systems. Superior Detection Accuracy: Experience noticeable improvements in voice detection, leading to fewer errors and more reliable performance. Smaller & Faster: Enjoy a 32% reduction in Real-Time Factor (RTF) and an 86% size reduction compared to Silero VAD! This translates to lower resource consumption and faster processing. Get the code: https://github.com/ten-framework/ten-vad
In Boost Your Voice AI Agents with Open-Source Ten VAD

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