When students struggle with reading, educators often respond by relying on texts at their “instructional level.” But this well-intentioned approach can slow progress and limit access to the ...

BrainWhisperer is Tether’s Brain-to-text project. Tether is earmarking resources to build technologies that push the borders of intracranial electrocortical decoding. The latest result is a variable ...

A student must be able to decode before they can truly build reading fluency or comprehension. That’s not a preference. It’s how reading works. Yet in IEP meetings, I often see teams rush toward ...

Abstract: This paper proposes a novel semi-supervised end-to-end speech-to-text translation (S2TT) approach that leverages pseudo-labeling (PL) through joint decoding with both a text-totext ...

Abstract: Brain-to-text systems are rapidly emerging at the intersection of neuroscience, brain–computer interfaces (BCIs), and artificial intelligence, aiming to decode neural signals into coherent ...

After poring over recordings from sperm whales in the Caribbean, UC Berkeley linguist Gasper Begus had an unlikely breakthrough. According to a new study from Begus and his colleagues with Project ...

Summary: A new brain decoding method called mind captioning can generate accurate text descriptions of what a person is seeing or recalling—without relying on the brain’s language system. Instead, it ...

A basic but comprehensive tokenizer implementation in JavaScript that learns vocabulary from text, supports ENCODE/DECODE operations, and handles special tokens. Perfect for understanding the ...

Speech language models (Speech LMs) enable end-to-end speech-text modeling within a single model, offering a promising direction for spoken dialogue systems. The choice of speech-text jointly decoding ...