Tootfinder

Whispering Context: Distilling Syntax and Semantics for Long Speech Transcripts
Duygu Altinok
https://arxiv.org/abs/2508.13376 https://arxiv.org/pdf/2508.1…

Whispering Context: Distilling Syntax and Semantics for Long Speech Transcripts
ASR systems often struggle with maintaining syntactic and semantic accuracy in long audio transcripts, impacting tasks like Named Entity Recognition (NER), capitalization, and punctuation. We propose a novel approach that enhances ASR by distilling contextual knowledge from LLaMA models into Whisper. Our method uses two strategies: (1) token level distillation with optimal transport to align dimensions and sequence lengths, and (2) representation loss minimization between sentence embeddings of…

@… Jordi, I hear Macwhisper is now blazingly fast with Nvidia tech — did you ever finish the export that we can use for the podcasts with multiple speaker speakers plus chapter marker − .srt?
I’m always waiting to use Mac whisper, but I can’t because the output file doesn’t help me.
And I am one of thousands.

When love comes in and takes you for a spin
Oo la la la, c'est magnifique
When every night, your loved one holds you tight
Oo la la la, c'est magnifique
But when one day, your loved one drifts away
Oo la la la, it is so tragique
But when once more she whispers
"Je t'adore,:c'est magnifique
#porter

Cooles Feature. Ich bin kein großer AI Fan gleichzeitig sehe ich bei Transkription tatsächlich Potenzial. Und nahtlos und offline SRT Dateien erstellen zu lassen ist super.
FFmpeg 8.0 integriert Whisper: Lokale Audio-Transkription ohne Cloud | heise online

FFmpeg 8.0 integriert Whisper: Lokale Audio-Transkription ohne Cloud
Die kommende Version 8.0 von FFmpeg erhält optional Whisper. OpenAIs KI-Transkription werden sich flexibel einsetzen lassen.

#Polyamory

🇺🇦 #NowPlaying on #BBC6Music's #RadcliffeAndMaconie
Cecile Campbell:
🎵 Whisper to Me
#CecileCampbell
https://basswiserecords.bandcamp.com/track/whisper-to-me
https://open.spotify.com/track/5xgPgAWIZHRdXJsSlJdgJp

🇺🇦 #NowPlaying on BBCRadio3's #PrivatePassions
Washboard Sam & Washboard Sam:
🎵 Who Pumped the Wind in My Doughnut
#WashboardSam

How the outrage over Jimmy Kimmel's remarks on Charlie Kirk ballooned, starting with one X user, who monitors late night shows for liberal bias, posting a clip (Stuart A. Thompson/New York Times)
https://www.nytimes.com/2025/09/19/technology/kimmel-carr-outr…

How Outrage at Kimmel Grew to a Shout From a Whisper
Right-wing users on social media on Tuesday were frustrated but not yet apoplectic about Jimmy Kimmel’s monologue. Things changed.

Modeling tails of escaping gas in exoplanet atmospheres with Harmonica
Carlos Gasc\'on, Mercedes L\'opez-Morales, Shreyas Vissapragada, Morgan MacLeod, Hannah R. Wakeford, David Grant, Ignasi Ribas, Guillem Anglada-Escud\'e
https://arxiv.org/abs/2508.14846

Modeling tails of escaping gas in exoplanet atmospheres with Harmonica
Exoplanets that reside close to their host stars, and therefore receive substantial amounts of X-ray and ultraviolet radiation, are prone to suffer from strong atmospheric escape. This can lead to the creation of an envelope of escaping gas along the planet's orbital trajectory, often referred to as a tail. When transiting in front of their host star, these tails can not only produce larger depths in the transit light curves, but also introduce significant asymmetries between ingress and egress…

Evaluating ASR robustness to spontaneous speech errors: A study of WhisperX using a Speech Error Database
John Alderete, Macarious Kin Fung Hui, Aanchan Mohan
https://arxiv.org/abs/2508.13060

Evaluating ASR robustness to spontaneous speech errors: A study of WhisperX using a Speech Error Database
The Simon Fraser University Speech Error Database (SFUSED) is a public data collection developed for linguistic and psycholinguistic research. Here we demonstrate how its design and annotations can be used to test and evaluate speech recognition models. The database comprises systematically annotated speech errors from spontaneous English speech, with each error tagged for intended and actual error productions. The annotation schema incorporates multiple classificatory dimensions that are of so…