#cmusphinx
Live, measured metrics for the hashtag #cmusphinx from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #cmusphinx
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Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 14:52 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 2026-07-27 14:52 UTCNo related tags with measured usage found for #cmusphinx.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 14:52 UTCEverything below is measured over the latest 8 public posts (spanning ~28762 hours).
Posting hours (UTC)
Languages: English (3)
Avg boosts / post: 0
Top of the latest posts
So, for a focused voice control solution where the set of reasonable phrases is small, CMU Sphinx (pocketsphinx specifically) does not suck at all! I put together a small JSGF grammar for the kinds of things you'd say to control a podcast e
CMU Sphinx first impressions, pros cons and other: Pros: WorksIs localEasy integration to Python via PocketSphinxCons: Currently clocking in at "I helped Apple wreck a nice beach" levels of accuracy... but I think I'm holding it wrong, and
Today's step in experimenting with text-to-speech: speech-to-text! Started with a PocketSphinx integration. It's a good start, but definitely has issues with fidelity; right now I'm getting "Newton handwriting recognition" levels of accurac
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/cmusphinx