#speechproc
Live, measured metrics for the hashtag #speechproc from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #speechproc
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Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-28 05:48 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 2026-07-28 05:48 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 05:48 UTCEverything below is measured over the latest 6 public posts (spanning ~2223 hours).
Posting hours (UTC)
Languages: English (6)
Avg boosts / post: 2.8
Top of the latest posts
I’m sure I have a bunch of #Multilingual #LangDev, #SpeechProc #NLP and #CogSci friends over here 🦣 We’ve prepped >30hrs of our English/Mandarin code-switched child directed speech for the #MerlionChallenge at this year’s INTERSPEECH >300
Baseline system + leaderboards are up for #MerlionChallenge untangling complex code-mixed speech. Which #ML #DeepLearning #SpeechProc system will do the best job on complex language use in the wild? 👀 TWO TEAMS have already beaten the base
Have you ever seen auto-generated subtitles turn to mush because they couldn’t handle a speaker’s accent or figure out what language they’re speaking after a switch? The #MerlionChallenge for #Interspeech23 tests how well teams can build a
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/speechproc