Abstract: Automatic Speech Recognition (ASR) systems are widely used for speech censoring. Speech Adversarial Example (AE) offers a novel approach to protect speech privacy by forcing ASR to ...
Penn State’s 54-day coaching search to replace James Franklin — which landed in the hands of Iowa State’s Matt Campbell — took several twists and turns along the way. Among various missed targets and ...
ZainTECH, the integrated digital solutions arm of Zain Group, has announced a strategic partnership with Vortex Global, a cutting-edge software company known for its surveillance and visual ...
SAM Audio is the first unified AI model that can segment sound from complex audio mixtures using text, visual, and time span prompts. This technology has the potential to transform audio and video ...
Those prioritizing safety and security now have a cost-effective latching option. Southco’s E3 VISE ACTION® Compression Latch with Visual Indicator is now available in zinc. The latch features red, ...
Your logo is silent. That is a problem. We dissect 10 famous sonic branding examples to show how audio strategy builds trust, recall, and revenue. Your brand is likely suffering from a critical ...
I took a break from HALIC for GDCC 2023. Then I tried something a little different. In the past(2018-2019), I had been working on the lossless audio compression. However, I could not bring together ...
Two of BTS’ quintessential album series — ‘The Most Beautiful Moment in Life’ and ‘Love Yourself’ — are now available in a way fans have never heard before. By Nicole Fell Assistant Editor It’s ...
Instead of using text tokens, the Chinese AI company is packing information into images. An AI model released by the Chinese AI company DeepSeek uses new techniques that could significantly improve AI ...
In previous episodes of this long-running series looking at the world of high-quality audio, at every point we’ve stayed in the real world of physical audio hardware. From the human ear to the ...
Can we render long texts as images and use a VLM to achieve 3–4× token compression, preserving accuracy while scaling a 128K context toward 1M-token workloads? A team of researchers from Zhipu AI ...
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