Tootfinder

Fine-Tuning Large Multimodal Models for Automatic Pronunciation Assessment
Ke Wang, Wenning Wei, Yan Deng, Lei He, Sheng Zhao
https://arxiv.org/abs/2509.15701 https://

Fine-Tuning Large Multimodal Models for Automatic Pronunciation Assessment
Automatic Pronunciation Assessment (APA) is critical for Computer-Assisted Language Learning (CALL), requiring evaluation across multiple granularities and aspects. Large Multimodal Models (LMMs) present new opportunities for APA, but their effectiveness in fine-grained assessment remains uncertain. This work investigates fine-tuning LMMs for APA using the Speechocean762 dataset and a private corpus. Fine-tuning significantly outperforms zero-shot settings and achieves competitive results on si…

Recommendations include —
•Avoid repeating misinfo w/o correction
•Leverage trusted sources to counter misinformation & provide accurate health info
•Debunk misinformation often &repeatedly w/ evidence-based methods
**•Fund basic & translational
research on the psychology of health misinformation , including effective ways to counter it **

Sander van der Linden (@profsanderlinden.bsky.social)
Public health is under attack by a deluge of misinformation. We offer a consensus report from the American Psychological Association summarizing what we know & what interventions are effective in countering it. We provide 8 concrete recommendations. Open-access - https://awspntest.apa.org/fulltext/2026-77135-001.pdf

das erinnert mich an die eine folge von "the osbornes" wo ozzy (rip) ein feuer am strand macht und er dann den ozean beleidigt weil das wasser dem feuer zu nah kommt
https://apa.at/news/julius-von-bismarck-peitscht-das-meer-im-kunst-haus-wie…

Une montre intelligente qui mesure votre niveau de stress ? Du pipeau, selon une recherche publiée dans le Journal of Psychopathology and Clinical Science.
https://psycnet.apa.org/doiLanding?doi=10.1037/abn0001013

MuFFIN: Multifaceted Pronunciation Feedback Model with Interactive Hierarchical Neural Modeling
Bi-Cheng Yan, Ming-Kang Tsai, Berlin Chen
https://arxiv.org/abs/2510.04956 https:…

MuFFIN: Multifaceted Pronunciation Feedback Model with Interactive Hierarchical Neural Modeling
Computer-assisted pronunciation training (CAPT) manages to facilitate second-language (L2) learners to practice pronunciation skills by offering timely and instructive feedback. To examine pronunciation proficiency from multiple facets, existing methods for CAPT broadly fall into two categories: mispronunciation detection and diagnosis (MDD) as well as automatic pronunciation assessment (APA). The former aims to pinpoint phonetic pronunciation errors and provide diagnostic feedback, while the l…