#interspeech2025

Live, measured metrics for the hashtag #interspeech2025 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
5
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 5
1
Avg reactions / post
Mastodon · last 5

Day-by-day usage

measured · mastodon.social (Mastodon public tags API) · fetched 2026-07-28 12:05 UTC
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27
0
07-28

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 2026-07-28 12:05 UTC

No related tags with measured usage found for #interspeech2025.

Live pulse

measured · mastodon.social (Mastodon tag timeline) · fetched 2026-07-28 12:05 UTC

Everything below is measured over the latest 5 public posts (spanning ~2129 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (5)

Avg boosts / post: 1.2

Top of the latest posts

  • Want to learn how to analyze the inner workings of speech processing models? 🔍 Check out the programme for our tutorial, taking place at this year's Interspeech conference in Rotterdam: https://interpretingdl.github.io/speech-interpretabil

    Marianne de Heer Kloots@[email protected]♥ 3↻ 42025-06-13 05:33 UTCView post →

  • ✨ Do self-supervised speech models learn to encode language-specific linguistic features from their training data, or only more language-general acoustic correlates? At #Interspeech2025 we presented our new Wav2Vec2-NL model and SSL-NL eval

    Marianne de Heer Kloots@[email protected]♥ 1↻ 12025-08-28 07:43 UTCView post →

  • Poeppel et al's #Interspeech2025 contribution: https://arxiv.org/pdf/2505.23509 A biologically-inspired sound decomposition into spectro-temporal modulation features outperforms DNNs in audio classification tasks.

    Léo Varnet@[email protected]♥ 1↻ 12025-05-31 14:47 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/interspeech2025