#語音識別

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

hashtag.org network · sponsored

Own #語音識別

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.

$2,449.80/ year · 4-character #name
Claim #語音識別 — $2,449.80/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
14
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 14
0.1
Avg reactions / post
Mastodon · last 14
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.social (Mastodon public tags API) · fetched 2026-08-22 18:48 UTC
0
08-16
0
08-17
0
08-18
0
08-19
0
08-20
0
08-21
0
08-22

0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · mastodon.social (Mastodon public search API) · fetched 2026-08-22 18:48 UTC
#語音識別技術
0 uses · 0 accounts / 7d

Live pulse

measured · mastodon.social (Mastodon tag timeline) · fetched 2026-08-22 18:48 UTC

Everything below is measured over the latest 14 public posts (spanning ~31950 hours).

Posting hours (UTC) — busiest: 09:00

00:0012:0023:00

Languages: Chinese (Taiwan) (11) · Chinese (3)

Avg boosts / post: 0.1

Top of the latest posts

  • 好強，我以前是付費用sonix轉錄字幕，沒想到有開源的工具。有空試一下 #日語 #轉錄 #字幕 #語音識別 https://sspai.com/post/76899

    H@R0👨🏻‍💻@quetalocatl♥ 1↻ 02022-11-20 10:30 UTCView post →

  • 🌘 Apple 全新語音 API 對決 Whisper：首次真實基準測試 ➤ 蘋果端側 AI 跨越性能奇點， whisper 的英語霸主地位受挑戰 ✤ https://get-inscribe.com/blog/apple-speech-api-benchmark.html 隨著 iOS 與 macOS 26 的發布，Apple 引入了全新的 `SpeechAnalyzer` 語音識別 API，但官方並未公佈任何精度數據。為了評估這項新技術，Inscribe 團隊利用其跨平

    GripNews@GripNews♥ 0↻ 02026-07-13 16:18 UTCView post →

  • 🌗 利用超音波實現無聲語音識別 ➤ 透過舌尖上的超音波，開啟隱形溝通的新紀元 ✤ https://alephneuro.com/blog/silent-speech 本文介紹了一項突破性的無聲語音識別技術。研究人員利用放置在下顎下方的超音波探頭，直接擷取說話者舌頭的運動影像，並透過深度學習模型將影像轉化為文字。該系統僅耗時一個月研發，並使用 50 小時的訓練數據，即達到 15.6% 的單字錯誤率，展現出極佳的跨使用者泛化能力。這項技術不僅解決了公共場合無法語音操控設備的隱私

    GripNews@GripNews♥ 0↻ 02026-07-11 09:18 UTCView post →

#語音識別 across platforms

every network with a public tag surface

Follow #語音識別 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.

X (Twitter) ↗Instagram ↗TikTok ↗Facebook ↗LinkedIn ↗YouTube ↗Threads ↗Bluesky ↗Mastodon ↗Reddit ↗Pinterest ↗Tumblr ↗

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/語音識別