Tootfinder

Space Tango partners with LambdaVision on NASA Phase II InSPA Award to advance artificial retina manufacturing in space https://spacetango.com/latest/pressreleases/space-tango-partne…

Pentagon staff have been warned that if they don’t watch or read Hegseth's speech,
or if they speak negatively of it,
they could face severe consequences.
https://zeteo.com/p/pentagon-hegseth-speech-military-consequences

The Pentagon Is Ordering Staff to Watch Hegseth’s ‘MAGA Garbage’ Speech… Or Else
Defense Department sources tell Zeteo that staff have been warned that if they don’t watch or read the speech, or if they speak negatively of it, they could face severe consequences.

SBS Dutch - SBS Nederlands
Independent news and stories connecting you to life in Australia and Dutch-speaking Australians...
Great Australian Pods Podcast Directory: https://www.greataustralianpods.com/sbs-dutch/

Does the Wool Industry Drown Sheeps? #AnimalRights

Does the Wool Industry Drown Sheeps?
Wool production is riddled with distressing practices. For instance, in countries like Australia (one of the major wool producers) mulesing, the carving of huge pieces of skin from sheep’s backs to…

Marc Benioff says Salesforce is saving about $100M a year by using AI tools in its customer service operations (Brody Ford/Bloomberg)
https://www.bloomberg.com/news/articles/2025-10-14/salesforce-says-ai-customer-service-saves…

Salesforce Says AI Customer Service Saves $100 Million Annually
Salesforce Inc. said it’s saving about $100 million a year by using artificial intelligence tools in the software company’s customer service operations.

Understanding the Modality Gap: An Empirical Study on the Speech-Text Alignment Mechanism of Large Speech Language Models
Bajian Xiang, Shuaijiang Zhao, Tingwei Guo, Wei Zou
https://arxiv.org/abs/2510.12116

Understanding the Modality Gap: An Empirical Study on the Speech-Text Alignment Mechanism of Large Speech Language Models
End-to-end Large Speech Language Models (LSLMs) have demonstrated impressive conversational generation abilities, yet consistently fall short of traditional pipeline systems on semantic understanding benchmarks. In this work, we reveal through systematic experimentation that although LSLMs lose some text input performance after speech-text alignment training, the performance gap between speech and text inputs is more pronounced, which we refer to as the modality gap. To understand this gap, we …

I have changed people's lives by pointing them to svgrepo.
https://www.svgrepo.com/

🚔 Crown Vics With 10-Speed Swaps? This Shop Says It’s the Future
https://www.thedrive.com/news/crown-vics-with-10-speed-swaps-this-shop-says-its-the-future

Crown Vics With 10-Speed Swaps? This Shop Says It’s the Future
Going from a four-speed automatic to a 10R80 unlocks a whole new world of performance and drivability.

ParsVoice: A Large-Scale Multi-Speaker Persian Speech Corpus for Text-to-Speech Synthesis
Mohammad Javad Ranjbar Kalahroodi, Heshaam Faili, Azadeh Shakery
https://arxiv.org/abs/2510.10774

ParsVoice: A Large-Scale Multi-Speaker Persian Speech Corpus for Text-to-Speech Synthesis
Persian Language, despite being spoken by over 100 million people worldwide, remains severely underrepresented in high-quality speech corpora, particularly for text-to-speech (TTS) synthesis applications. Existing Persian speech datasets are typically smaller than their English counterparts, which creates a key limitation for developing Persian speech technologies. We address this gap by introducing ParsVoice, the largest Persian speech corpus designed specifically for TTS applications. We crea…

Prominence-aware automatic speech recognition for conversational speech
Julian Linke, Barbara Schuppler
https://arxiv.org/abs/2509.10116 https://arxiv.org/…

Prominence-aware automatic speech recognition for conversational speech
This paper investigates prominence-aware automatic speech recognition (ASR) by combining prominence detection and speech recognition for conversational Austrian German. First, prominence detectors were developed by fine-tuning wav2vec2 models to classify word-level prominence. The detector was then used to automatically annotate prosodic prominence in a large corpus. Based on those annotations, we trained novel prominence-aware ASR systems that simultaneously transcribe words and their prominen…