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The Economist reports revenue up 2% YoY to £368.5M for FY ending March 31, operating profit up 2% to £48.1M, subscribers up 3% to 1.25M, and digital subs up 8% (Charlotte Tobitt/Press Gazette)
https://pressgazette.co.uk/media_business/economi…

Subscriptions growth fuels record revenue year for The Economist
The Economist grew profit, revenue and subscription numbers last year after five years of investing in staff and tech.

Exploring Speaker Diarization with Mixture of Experts
Gaobin Yang, Maokui He, Shutong Niu, Ruoyu Wang, Hang Chen, Jun Du
https://arxiv.org/abs/2506.14750 h…

Exploring Speaker Diarization with Mixture of Experts
In this paper, we propose a novel neural speaker diarization system using memory-aware multi-speaker embedding with sequence-to-sequence architecture (NSD-MS2S), which integrates a memory-aware multi-speaker embedding module with a sequence-to-sequence architecture. The system leverages a memory module to enhance speaker embeddings and employs a Seq2Seq framework to efficiently map acoustic features to speaker labels. Additionally, we explore the application of mixture of experts in speaker dia…

North Jersey Media Group Subscription Offers, Specials, and Discounts https://subscribe.northjersey.com/restricted

heise | Photovoltaik-Überblick für Einsteiger: Von Balkonkraftwerk bis Zukunftstrends
Planung, Speicher, Förderung und Pflichten, nächste Solarzellengeneration: Die wichtigsten Informationen für den Einstieg in die Photovoltaik.

Characterizing infinite torsion subgroups of the circle through arithmetic-type sequences
Ayan Ghosh, Pratulananda Das
https://arxiv.org/abs/2506.15257 htt…

Characterizing infinite torsion subgroups of the circle through arithmetic-type sequences
In a recent work [Das et al., Bull. Sci. Math. 199 (2025), 103580], the structure of characterized subgroups corresponding to arithmetic-type sequences was investigated. Building upon this work, we further show that a characterized subgroup associated with an arithmetic-type sequence is countable if and only if it is torsion. Further we prove that any infinite torsion subgroup of the circle can be characterized by an arithmetic-type sequence with bounded ratio. Moreover, our findings demonstrat…

Anysphere debuts a $200/month Ultra plan for Cursor with 20x more usage on AI models from OpenAI, Anthropic, Google DeepMind, and xAI vs. its $20/month Pro plan (Maxwell Zeff/TechCrunch)
https://techcrunch.com/2025/06/17/anysphere-…

Anysphere launches a $200-a-month Cursor AI coding subscription | TechCrunch
Cursor-maker Anysphere is launching a $200-a-month subscription for its AI coding tool, as the space for "vibecoding" products heats up.

Mike Huckabee, the US ambassador to Israel, still earns profits from Substack subscriptions despite ceding editorial control of the Huckabee Post to his son (Dave Levinthal/Columbia Journalism Review)
https://www.cjr.org/news/huckabee-substack

You'll never become a NATIVE English speaker
No matter how hard you try, the years in the UK or Ireland, the effort in your accent, or the AI applications you might use to fake it
There is a language wall, made of accents, cultural references and seemingly illogical phrasal verbs and idioms, that we cannot jump
But IT DOESN'T MATTER.
90% of your interactions are probably with other non-native speakers. As long as you understand each other, you're good.

Neither British nor American: how Europeans speak their own flavour of English - The European Perspective
Learning English with Elton John

Investigation of Zero-shot Text-to-Speech Models for Enhancing Short-Utterance Speaker Verification
Yiyang Zhao, Shuai Wang, Guangzhi Sun, Zehua Chen, Chao Zhang, Mingxing Xu, Thomas Fang Zheng
https://arxiv.org/abs/2506.14226

Investigation of Zero-shot Text-to-Speech Models for Enhancing Short-Utterance Speaker Verification
Short-utterance speaker verification presents significant challenges due to the limited information in brief speech segments, which can undermine accuracy and reliability. Recently, zero-shot text-to-speech (ZS-TTS) systems have made considerable progress in preserving speaker identity. In this study, we explore, for the first time, the use of ZS-TTS systems for test-time data augmentation for speaker verification. We evaluate three state-of-the-art pre-trained ZS-TTS systems, NatureSpeech 3, C…

TTSOps: A Closed-Loop Corpus Optimization Framework for Training Multi-Speaker TTS Models from Dark Data
Kentaro Seki, Shinnosuke Takamichi, Takaaki Saeki, Hiroshi Saruwatari
https://arxiv.org/abs/2506.15614

TTSOps: A Closed-Loop Corpus Optimization Framework for Training Multi-Speaker TTS Models from Dark Data
This paper presents TTSOps, a fully automated closed-loop framework for constructing multi-speaker text-to-speech (TTS) systems from noisy, uncurated web-scale speech data, often referred to as ``dark data,'' such as online videos. Conventional TTS training pipelines require well-curated corpora with high acoustic quality and accurate text-speech alignment, which severely limits scalability, speaker diversity, and real-world applicability. While recent studies have proposed acoustic-quality-bas…