#voiceactivitydetection
Live, measured metrics for the hashtag #voiceactivitydetection from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #voiceactivitydetection
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-11-04 09:22 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-11-04 09:22 UTCNo related tags with measured usage found for #voiceactivitydetection.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-11-04 09:22 UTCEverything below is measured over the latest 1 public posts.
Posting hours (UTC)
Languages: English (1)
Avg boosts / post: 0
Used together with
Top of the latest posts
I built an open source VAD that beats Silero, Pyannote, and WebRTC NOVA-VAD는 GPU나 PyTorch 없이도 실세계 잡음 환경에서 Silero, Pyannote, WebRTC VAD를 능가하는 경량화되고 설명 가능한 음성 활동 감지기입니다. 150개 이상의 음성 특징을 추출하고 랜덤 포레스트와 그래디언트 부스팅 앙상블로 분류하며, 각 예측에 대해 신뢰도와 결정 근거를
#voiceactivitydetection across platforms
every network with a public tag surfaceFollow #voiceactivitydetection straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/voiceactivitydetection