#speechmodels
Live, measured metrics for the hashtag #speechmodels from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #speechmodels
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.online (Mastodon public tags API) · fetched 2026-11-15 18:16 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.online (Mastodon public search API) · fetched 2026-11-15 18:16 UTCNo related tags with measured usage found for #speechmodels.
Live pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-11-15 18:16 UTCEverything below is measured over the latest 3 public posts (spanning ~4879 hours).
Posting hours (UTC)
Languages: English (3)
Avg boosts / post: 0
Top of the latest posts
AshutoshShrivastava (@ai_for_success) AI Compass 주간 요약은 DeepSeek의 DeepInfer 오픈소스화, Mistral AI의 Voxtral 3 음성 모델 및 음성 에이전트 SDK 출시, ElevenLabs의 저지연 음성 에이전트용 Eleven Realtime v1 Mini·Max 추가를 주요 소식으로 정리했다. https://x.com/ai_for_success/status/2112
🚀 Ah, yet another "revolutionary" voice AI gizmo backed by Y Combinator because clearly, the world was lacking yet another API to compare the infinite parade of indistinguishable speech models 🤖. It's like a beauty contest for robots, but
Microsoft Research (@MSFTResearch) 저자원 언어를 위한 강건한 음성 모델 구축을 돕는 인터랙티브 플레이북 Paza가 공개됐다. 벤치마킹 도구를 제공해 번역, 데이터 활용, 모델 선택 등 최적의 접근 방식을 판단할 수 있게 해주며, AI 인프라가 부족한 언어권의 음성 AI 개발에 초점을 맞춘다. https://x.com/MSFTResearch/status/2038949540976316664 #speec
#speechmodels across platforms
every network with a public tag surfaceFollow #speechmodels 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/speechmodels