#diarization
Live, measured metrics for the hashtag #diarization from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #diarization
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 2026-10-15 12:29 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 2026-10-15 12:29 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-10-15 12:29 UTCEverything below is measured over the latest 10 public posts (spanning ~68981 hours).
Posting hours (UTC)
Languages: English (5) · Russian (2) · German (1) · French (1)
Avg boosts / post: 0.2
Top of the latest posts
ITmedia NEWS (@itmedia_news) 최대 8명의 화자를 구분하는 AI 전사 도구 ‘Klang’을 소개한다. 여러 참여자가 있는 회의·인터뷰·상담 녹음에서 화자 분리(diarization) 정확도가 핵심이며, 전사 데이터를 회의 요약·검색·에이전트용 컨텍스트로 활용하는 LLM 응용과 연결될 수 있다. https://x.com/itmedia_news/status/2108117752976470066 #ai #tran
RT @NVIDIAAI: Wenn mehrere Personen gleichzeitig sprechen, kann ein Transkript schnell unübersichtlich werden. Unser neues Nemotron 3 Diarization-Modell verfolgt, wer wann gesprochen hat, selbst wenn sich Stimmen überschneiden. Es unterstüt
AudioToText: управление требованиями через записи встреч Как превратить записи встреч в рабочий материал для согласования требований: текущая версия проекта AudioToText. В статье показываю, как собрать сервис транскрибации на базе MLX Whisp
What “diarization” means
WikipediaSpeaker diarisation is the process of partitioning an audio stream containing human speech into homogeneous segments according to the identity of each speaker. It can enhance the readability of an automatic speech transcription by structuring the audio stream into speaker turns and, when used together with speaker recognition systems, by providing the speaker’s true identity. It is used to answer the question "who spoke when?" Speaker diarisation is a combination of speaker segmentation and spea
“Speaker diarisation” on Wikipedia (CC BY-SA) →#diarization across platforms
every network with a public tag surfaceFollow #diarization 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/diarization