#MFCC

Live, measured metrics for the hashtag #MFCC 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 #mfcc

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 #mfcc — $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
3
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 3
0
Avg reactions / post
Mastodon · last 3
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.online (Mastodon public tags API) · fetched 2026-09-29 00:48 UTC
0
09-23
0
09-24
0
09-25
0
09-26
0
09-27
0
09-28
0
09-29

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.online (Mastodon public search API) · fetched 2026-09-29 00:48 UTC
#mfcc060
0 uses · 0 accounts / 7d
#mfcchicken
0 uses · 0 accounts / 7d

Live pulse

measured · mastodon.online (Mastodon tag timeline) · fetched 2026-09-29 00:48 UTC

Everything below is measured over the latest 3 public posts (spanning ~9548 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: Russian (2) · English (1)

Avg boosts / post: 0

Top of the latest posts

  • Часть 3: Архитектура нейросети для распознавания голосовых команд def get_features_all(y, sr): """ Получаем различные параметры аудио которые в сумме дадут уникальный набор признаков """ # Частота цветности chst = librosa.feature.chroma_stf

    Habr@[email protected]♥ 0↻ 02026-03-03 05:12 UTCView post →

  • Обработка аудио на ESP32 В этой статье я хочу поделиться своим опытом портирования проекта распознавания музыкальных жанров аудиозаписей на ESP32-C3. Исходный проект взят из репозитория книги TinyML-Cookbook_2E . При анализе речи или других

    Habr@[email protected]♥ 0↻ 02025-05-03 20:12 UTCView post →

  • More info about the FFT and MFCC used in samplebrain: - The # of FFT bins is set to the "block" size by default. However, there is an upper bound of 100 bins. - The # of MFCC filters is 12. #fft #mfcc

    sound friend@[email protected]♥ 0↻ 02025-01-29 08:53 UTCView post →

#mfcc across platforms

every network with a public tag surface

Follow #mfcc 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/mfcc