#speechinnoise
Live, measured metrics for the hashtag #speechinnoise from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #speechinnoise
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 2026-07-29 19:19 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 2026-07-29 19:19 UTCNo related tags with measured usage found for #speechinnoise.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-29 19:19 UTCEverything below is measured over the latest 6 public posts (spanning ~10408 hours).
Posting hours (UTC)
Languages: English (6)
Avg boosts / post: 3.7
Top of the latest posts
Time for a new #Introduction . I’m a Lecturer in #Neuroscience in #London at the #UniversityOfRoehampton . I study #NoiseExposure & #HearingLoss & how it affects #AuditoryProcessing , #Audiology , & #Hearing ; particularly #SpeechInNoise &
Our chapter “Listening difficulty: From hearing to language” is out in the book series The Psychology of Learning and Motivation! We highlight often overlooked connections between cognitive hearing science and psycholinguistics and make rec
Our new #trendsinhearing paper is out! We found evidence that anticipation of upcoming listening difficulty impacted baseline pupil size and the shape of the task-evoked pupil response during 60-sec story listening. Led by former UMD postdo
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/speechinnoise