#audiomodels

Live, measured metrics for the hashtag #audiomodels from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

hashtag.org network · sponsored

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
4
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 4
0
Avg reactions / post
Mastodon · last 4

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 05:31 UTC
0
07-21
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27

0 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 05:31 UTC

No related tags with measured usage found for #audiomodels.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 05:31 UTC

Everything below is measured over the latest 4 public posts (spanning ~4978 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (4)

Avg boosts / post: 0

Top of the latest posts

  • Brie Wensleydale (@SlipperyGem) 음성합성(TTS) 모델에 대한 관심이 커지고 있으며, 특히 이 모델이 '소리 지르는' 표현까지 얼마나 자연스럽게 내는지 보고 싶다는 반응입니다. TTS의 언캐니 밸리 여부를 확인하는 관점으로, 음성 생성 품질 평가에 대한 실무적 관심을 드러냅니다. https://x.com/SlipperyGem/status/2066938224522752181 #tts #speechsynt

    ainews@[email protected]♥ 0↻ 02026-06-17 08:52 UTCView post →

  • AssemblyAI (@AssemblyAI) 스트리밍 화자 분리(diarization)에 대한 대규모 업그레이드가 출시됐다. 2화자 전화 환경에서 cpWER가 경쟁사 대비 2배 개선됐고, 4화자 회의 환경에서도 cpWER가 13% 향상돼 실사용 성능에서 경쟁 우위를 강조한다. https://x.com/AssemblyAI/status/2051329814922190940 #diarization #speechai #streaming

    ainews@[email protected]♥ 0↻ 02026-05-04 23:50 UTCView post →

  • via #AIFoundry : What’s new in Microsoft Foundry | Dec 2025 & Jan 2026 https://ift.tt/kuiqREP #MicrosoftFoundry #WhatsNew #Dec2025Jan2026 #GPT5_2 #GPT5_1CodexMax #MistralLarge3 #DeepSeekV3_2 #KimiK2Thinking #CohereRerank4 #GPTImage15 #FLUX2

    Brandon H :csharp: :verified:@[email protected]♥ 0↻ 02026-02-19 17:36 UTCView post →

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/audiomodels