Tootfinder

Hello!
I have a happy favour to ask.
Last year, I had a US intern working with us and she now is looking for help that you- good reader of this account- could give.
(She needs academic survey participants)
Check out her flyer below, click the link, and please RT
http…

Research Study on Data Privacy and Collective Redress
A researcher at University College Dublin wants to conduct anonymous interviews to learn about why you would or would not participate in a legal action to rectify a data protection violation. This information can be used to help nonprofit organizations better represent you when organizations violate your data protection rights. Provide your email to receive more information. All personally identifiable information will be deleted following completion of the study.

Grönland gibt's nicht, Liechtenstein ist verschwunden, von Neuseeland hat niemand was gehört
TAZ: Grünspan im Eismeer
Immer mehr Länder fordern geografische Anonymität und möchten mit sofortiger Wirkung von der international regulären Weltkarte gestrichen werden.
https://taz.de/Die-Wahrheit/!6091936/

Die Wahrheit: Grünspan im Eismeer
Immer mehr Länder fordern geografische Anonymität und möchten mit sofortiger Wirkung von der international regulären Weltkarte gestrichen werden.

So Bitvise, the developer of an SSH client that competes with PuTTY, the widely-used open-source SSH and Telnet client, somehow got hold of the domain putty.org and is using it to promote its own products.
Here's how Bitvise responded to a tech blogger/journalist who wrote about this situation.
https://blog.pupred.…

Towards Accurate Phonetic Error Detection Through Phoneme Similarity Modeling
Xuanru Zhou, Jiachen Lian, Cheol Jun Cho, Tejas Prabhune, Shuhe Li, William Li, Rodrigo Ortiz, Zoe Ezzes, Jet Vonk, Brittany Morin, Rian Bogley, Lisa Wauters, Zachary Miller, Maria Gorno-Tempini, Gopala Anumanchipalli
https://arxiv.org/abs/2507.14346…

Towards Accurate Phonetic Error Detection Through Phoneme Similarity Modeling
Phonetic error detection, a core subtask of automatic pronunciation assessment, identifies pronunciation deviations at the phoneme level. Speech variability from accents and dysfluencies challenges accurate phoneme recognition, with current models failing to capture these discrepancies effectively. We propose a verbatim phoneme recognition framework using multi-task training with novel phoneme similarity modeling that transcribes what speakers actually say rather than what they're supposed to s…

US won't send some weapons pledged to Ukraine following a Pentagon review of military aid
A Pentagon review determined that stocks were too low on some weapons previously pledged to Ukraine,
so pending shipments of some items won’t be sent,
according to a U.S. official who spoke on condition of anonymity to provide information that has not yet been made public.

The Defense Department did not provide details on what specific weapons were being held back.

The…

US won't send some weapons pledged to Ukraine following a Pentagon review of military aid
The U.S. is halting some shipments of weapons to Ukraine amid concerns that its own stockpiles have declined too much

Reykjavík Grapevine provides answers to questions you were too afraid to ask
https://grapevine.is/mag/2025/07/07/help-call-charlie-campsites-expensive-vegetables-beautiful-but-harmless-eruption-more/…

From Iceland — Help? Call Charlie! Campsites, Expensive Vegetables, Beautiful But Harmless Eruption & More
Unsolicited advice from an unreliable advisor Help is a four-letter verb meaning “to make it easier or possible for someone...

Rethinking Contrastive Learning in Session-based Recommendation
Xiaokun Zhang, Bo Xu, Fenglong Ma, Zhizheng Wang, Liang Yang, Hongfei Lin
https://arxiv.org/abs/2506.05044

Rethinking Contrastive Learning in Session-based Recommendation
Session-based recommendation aims to predict intents of anonymous users based on limited behaviors. With the ability in alleviating data sparsity, contrastive learning is prevailing in the task. However, we spot that existing contrastive learning based methods still suffer from three obstacles: (1) they overlook item-level sparsity and primarily focus on session-level sparsity; (2) they typically augment sessions using item IDs like crop, mask and reorder, failing to ensure the semantic consist…

This https://arxiv.org/abs/2505.15004 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

EASY: Emotion-aware Speaker Anonymization via Factorized Distillation
Emotion plays a significant role in speech interaction, conveyed through tone, pitch, and rhythm, enabling the expression of feelings and intentions beyond words to create a more personalized experience. However, most existing speaker anonymization systems employ parallel disentanglement methods, which only separate speech into linguistic content and speaker identity, often neglecting the preservation of the original emotional state. In this study, we introduce EASY, an emotion-aware speaker an…