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snakers4
silero-vad
Python2021–2026
snakers4 / silero-vad

silero-vad

Silero VAD: pre-trained enterprise-grade Voice Activity Detector

7Distinct people
8Mentions
0Explicit recommenders
10.7KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Silero VAD: pre-trained enterprise-grade Voice Activity Detector

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, 5:04:57 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 year8 dated mentions

Observed mentions: 2021-12-30 08:16:42 UTC to 2026-05-03 17:26:37 UTC.

0122021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments20212022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments20232024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2026-01-01 00:00:00 UTC to 2027-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments. Incomplete calendar period.2026*

* An incomplete calendar period is marked with an outlined bar. Its count is not directly comparable with a full period.

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
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC211
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC000
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC202
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC211
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC110
2026 (partial)2026-01-01 00:00:00 UTC2027-01-01 00:00:00 UTC101

What Hacker News says

8 sources
So I use a VAD onnx (Silero [1]) to automatically detect when someone is talking, and then it sends the audio into one of the voice recognition libraries. I originally tried to get away with just Whisper Tiny in the chess game [2], but it performs worse on the kinds of short phrases (knight E4, c takes d5, etc) used to dictate chess notation. Even with hotword-based phrasing and corrections, I found its accuracy on brief inputs noticeably poorer. So I switched over to Sherpa [3] trained on gigaspeech. It’s significantly more accurate, but it also comes with a correspondingly larger memory footprint. Ideally, I would have used just one engine, but I needed a fallback for iOS devices (especially older ones) which can easily OOM. [1] - https://github.com/snakers4/silero-vad [2] - https://shahkur.specr.net [3] - https://github.com/k2-fsa/sher
Read the rest
In Show HN: Apple's SHARP running in the browser via ONNX runtime web
Hi, I built the client UI for this and... yea, I really wanted to get Firefox working :( We needed a way to measure voice-to-voice latency from the end-user's perspective, and found Silero voice activity detection (https://github.com/snakers4/silero-vad) to be the most reliable at detecting when the user has stopped speaking, so we can start the timer (and stop it again when audio is received from the bot.) Silero runs via onnx-runtime (with wasm). Whilst it sort-of-kinda works in Firefox, the VAD seems to misfire more than it should, causing the latency numbers to be somewhat absurd. I really want to get it working though! I'm still trying. The code for the UI VAD is here: https://github.com/pipecat-ai/web-client-ui/tree/main/src/va...
In Show HN: Voice bots with 500ms response times

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