#NoiseSuppression
Live, measured metrics for the hashtag #NoiseSuppression from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #noisesuppression
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 · mastodon.social (Mastodon public tags API) · fetched 2026-09-28 02:31 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.social (Mastodon public search API) · fetched 2026-09-28 02:31 UTCNo related tags with measured usage found for #noisesuppression.
Live pulse
measured · mastodon.social (Mastodon tag timeline) · fetched 2026-09-28 02:31 UTCEverything below is measured over the latest 17 public posts (spanning ~33409 hours).
Posting hours (UTC) — busiest: 15:00
Languages: English (9) · French (4) · British English (3)
Avg boosts / post: 0.7
Top of the latest posts
NoiseTorch-ng is an easy-to-use open source app for creating a virtual microphone on Linux to suppress noise NoiseTorch uses RNNoise, a noise suppression library based on a recurrent neural network (RNN). A RNN is a class of artificial neur
🛠️ Title: master_me 🦊️ What's: A libre automatic audio mastering plugin for live broadcasters 🏡️ - 🐣️ https://github.com/trummerschlunk/master_me 🦉️ https://mastodon.falktx.com/@falktx 🔖 #Linux #Tool #Audio #Mastering #NoiseSuppressio
With MANY thanks to @LoneLocust for giving me a push and Georg from @auphonic for teaching me how to up my audio game with Auphonic: https://www.podfeet.com/blog/2026/04/auphonic-noise-filler-words/ #NoiseSuppression
#noisesuppression across platforms
every network with a public tag surfaceFollow #noisesuppression 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/noisesuppression